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ORCIDInternational Journal of Imaging Systems and Technology, Volume 34
Volume 34, Number 1, January 2024
Research Articles
- Somiya Rani
, Amita Jain, Akshi Kumar, Guang Yang:
CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. - Zhenming Yuan, Tianhao Xu, Cheng Yu, Xiaojun Ye, Jian Zhang:
Automatic measurement of fetal abdomen subcutaneous soft tissue thickness from ultrasound image based on a U-shaped attention network with morphological method. - Sijing Cai, Yuwei Xiao, Yanyu Wang:
Two-dimensional medical image segmentation based on U-shaped structure. - Hayoung Kim, Hoseong Cho, Weonjoon Lee, Keunbada Son, Kyu-Bok Lee, Mansik Jeon, Jeehyun Kim:
Development of handheld optical coherence tomography based on commercial intra-oral scanner shape for extended clinical utility in dentistry. - C. Sahaya Pushpa Sarmila Star, Arulappan Milton, T. M. Inbamalar:
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning. - Wen Zhou, Jihong Wang, Yuhang Wang, Zijie Liu, Chen Yang:
CGS-Net: A classification-guided framework for automated infection segmentation of COVID-19 from CT images. - V. Karthikeyan, M. Navin Kishore, S. Sajin:
End-to-end light-weighted deep-learning model for abnormality classification in kidney CT images. - Komalpreet Kaur, Amanpreet Kaur:
In silico, in vitro, and in vivo validation of a microwave imaging system using a low-profile Ultra Wide Band Archimedean spiral antenna to detect skin cancer. - Suman Kumar Roy, Bhawana Rudra:
Quantum-inspired hybrid algorithm for image classification and segmentation: Q-Means++ max-cut method. - Rukiye Nur Kaçmaz, Refika Sultan Dogan, Bülent Yilmaz:
A comprehensive study on automatic non-informative frame detection in colonoscopy videos. - Sevket Ay, Ekin Ekinci, Zeynep Garip:
A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated learning. - Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig:
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy. - M. Ramkumar, R. Sarath Kumar, R. Padmapriya, S. Karthick:
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network. - V. Sivakumar, C. K. Yogesh, S. Vatchala, S. Kaliraj:
An efficient lung image classification and detection using spiral-optimized Gabor filter with convolutional neural network. - Anas Fouad Ahmed:
An efficient wavelet thresholding strategy and robust shrinkage approach for de-noising ECG signal. - Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. - Naeem Ullah, Muhammad Hassan, Javed Ali Khan, Muhammad Shahid Anwar, Khursheed Aurangzeb:
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images. - Zeeshan Ali, Muhammad Attique Khan, Ameer Hamza, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan:
A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm. - Haiyan Li, Xu Wang, Yiyin Tang, Shuhua Ye:
BCUIS-Net: A breast cancer ultrasound image segmentation network via boundary-aware and shape feature fusion. - Manish Sharma, Harsh Lodhi, Rishita Yadav, U. Rajendra Acharya:
Sleep disorder identification using wavelet scattering on ECG signals. - A. M. Vidhyalakshmi, M. Kanchana:
Skin cancer classification using improved transfer learning model-based random forest classifier and golden search optimization. - Karishma Rao, Manu Bansal, Gagandeep Kaur:
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain. - Rajat Mehrotra, M. A. Ansari, Rajeev Agrawal, Hisham Al-Ward, Pragati Tripathi, Jay Singh:
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques. - Wei Guo, Xiaomin Li, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis. - Priyanka Datta, Rajesh Rohilla:
Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer. - Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari:
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. - Maria Maddalena Autorino, Stefano Franceschini, Michele Ambrosanio, Vito Pascazio, Fabio Baselice:
Intra voxel analysis in magnetic resonance imaging via deep learning. - Vaibhav Soni, Nikhil Kumar Singh, Rishi Kumar Singh, Deepak Singh Tomar:
Multiencoder-based federated intelligent deep learning model for brain tumor segmentation. - Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen:
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis. - R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won:
HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. - Hakan Amasya, Prashant Prakash Jaju, Matvey Ezhov, Maxim Gusarev, Cemal Atakan, Alex Sanders, David Manulius, Maria Golitskya, Kriti Shrivastava, Ajita Singh, Anuja Gupta, Merve Önder, Kaan Orhan:
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging. - Shang Miao, Qun Xu, Weimin Li, Chao Yang, Bin Sheng, Fangyu Liu, Tsigabu T. Bezabih, Xiao Yu:
MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis. - Shanglei Gao, Yinwei Zhan, Zijun Chen:
BGNet: Boundary-guided network for polyp segmentation. - Chengzhun Lu, Zhangrun Xia, Krzysztof Przystupa, Orest Kochan, Jun Su:
DCELANM-Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner. - Cheng Chang, Hao Sun, Xin Guo, Zhenhui Sun, Mengkun Wu, Minghuan Yin, Baichuan An, Chao Zhuang:
An automatic measurement method for ankle key angles based on point cloud segmentation network. - Yong Zhang, Yan Luo, Li Qiu, Qiang Lu, Xiao Lu:
Remote ultrasound real-time consultation and quality control system. - Geetha Pavani Pappu, Prashanth Gowri Shankar Uppudi, Birendra Biswal, Srinivasa Rao Kandula, Meher Savedasa Dhavala, Giri Madhav Potturi, Paila Sai Sharat, Sridevi Polapragada, Nagadhara Harini Datti:
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments. - J. Kowsalyadevi, P. Geetha:
Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory. - Ahmet Çinar, Merve Erkus, Taner Tuncer, Hakan Ayyildiz, Seda Arslan Tuncer:
YOLOv5 based detector for eight different urine particles components on single board computer. - Salomi Selvadass, P. Malin Bruntha, K. Martin Sagayam, Hatira Günerhan:
SAtUNet: Series atrous convolution enhanced U-Net for lung nodule segmentation. - Yiyang Zhao, Jinjiang Li, Yepeng Liu:
Dynamic weight HiLo attention network for medical image multiple organ segmentation. - Qiaohong Liu, Yuanjie Lin, Xiaoxiang Han, Keyan Chen, Weikun Zhang, Hui Yang:
Dual-branch feature extraction network combined with Transformer and CNN for polyp segmentation. - Amar Shukla, Rajeev Tiwari, Shamik Tiwari:
Structural biomarker-based Alzheimer's disease detection via ensemble learning techniques. - Qiming He, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan:
Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. - Lakshmi Prasanna Kothala, Sitaramanjaneya Reddy Guntur:
An efficient stacked bidirectional GRU-LSTM network for intracranial hemorrhage detection. - Elias Ramzani, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri, Ali A. Pouyan:
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifier. - Asif Raza, Mohammed S. Alshehri, Sultan Almakdi, Ali Akbar Siddique, Mohammad Alsulami, Majed Alhaisoni:
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection. - Tarun Agrawal, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, Manoj Diwakar:
MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumour classification in MRI images. - Payal Malik, Ankit Vidyarthi:
Stacked deep model-based classification of the multiclass brain hemorrhages in CT scans. - K. Gayathri, N. Uma Maheswari, R. Venkatesh, Ahilan Appathurai:
Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural network. - A. Jayachandran, S. Ratheesh Kumar:
Microaneurysm classification system in color fundus images using auto-weight dilated convolutional network. - Sohaib Asif, Saif Ur Rehman Khan, Xiaolong Zheng, Ming Zhao:
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images. - Hafiz Muhammad Tayyab Khushi, Tehreem Masood, M. Arfan Jaffar, Sheeraz Akram, Sohail Masood Bhatti:
Performance analysis of state-of-the-art CNN architectures for brain tumour detection. - Ngangbam Herojit Singh, N. R. Gladiss Merlin, R. Thandaiah Prabu, Deepak Gupta, Meshal Alharbi:
Multi-classification of brain tumor by using deep convolutional neural network model in magnetic resonance imaging images. - Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta:
MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images. - Ismail Omar Hababeh, Lina R. Hammad, Mohammad I. Daoud, Mahasen Al-Najar:
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues. - K. Radha, Karuna Yepuganti:
Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey. - Mohammed Aloraini:
An effective human monkeypox classification using vision transformer. - Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar:
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model. - Shenglun Wang, Chun Ding, Zhaoze Wang, Lu Shen, Junsong Wang:
Using normalized echo state network to detect abnormal ECG patterns. - Lekshmy P. Chandran, Abdul Nazeer Kochannan Parampil Abdul Rahiman, Niyas Puzhakkal, Dinesh Makuni:
A 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning. - Velappan Subha, G. Gomathi, A. Manivanna Boopathi:
An exploration of ventricle regions segmentation and multiclass disease detection using cardiac MRI. - Muhamed Jishad Thrikkannoor Kolathod, M. Sanjay:
Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery-based brain computer interface. - Baiju Karun, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri:
Glioma detection using EHO based FLAME clustering in MR brain images. - Dan Liang, Yangjun Pi, Kai Hu, Yuguo Cui, Ye Huang, Dongtai Liang, Shi-Liang Feng:
Accurate and fast extraction of adhesive cells based on concave points detection and matching.
Correction
- Correction to "Automated detection and classification of skin diseases using diverse features and improved gray wolf-based multiple-layer perceptron neural network".
Research Articles
- Kamesh Sonti, Ravindra Dhuli:
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model.
Volume 34, Number 2, March 2024
Research Articles
- Jingpu Wu, Qianqi Huang, Yiqing Shen, Pengfei Guo, Jinyuan Zhou, Shanshan Jiang:
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T. - Li Sze Chow, Martyn Nigel James Paley, Simon J. Hickman:
Evaluation of optimal interpolation and segmentation of the optic nerves on magnetic resonance images for cross-sectional area measurement. - Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi:
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.
Retraction
- Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm.
Research Articles
- Jothiraj Selvaraj, A. K. Jayanthy:
Design and development of artificial intelligence-based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images. - Feng-Yi Su, Shin-Lei Peng:
Range and variability of CBF in young adults: PC-MRI and ASL studies. - Shuning Wei, Haijun Chen, Junqi Zhao, Ying Zhou, Yimei Yang:
SRP&PASMLP-Net: Lightweight skin lesion segmentation network based on structural re-parameterization and parallel axial shift multilayer perceptron. - Jindong Wu, Qunzheng Mi, Yi Zhang, Tongning Wu:
SVTNet: Automatic bone age assessment network based on TW3 method and vision transformer. - Dongmei Lin, Hengkun Wang, Aihua Zhang, Jason Gu, Xiaolei Chen, Ce Li, Yurun Ma:
Non-invasive measurement of blood pressure waveform based on spatiotemporal multi-dimensional pulse waves. - Ranadeep Bhuyan, Gypsy Nandi:
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks. - Xin Zhao, Tongming Wang, Jingsong Chen, Bingrun Jiang, Haotian Li, Nan Zhang, Guang Yang, Senchun Chai:
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI. - Sa Bijay Kumar, Rutuparna Panda, Sanjay Agrawal:
Relevant edge probability-based adaptively weighted active contour for medical image segmentation. - Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Rashi Rastogi, Aman Singh, Vanessa Yelamos Torres, Marwan Ali Albahar:
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification. - Sangeet Kumar, B. Biswal:
MAEU-NET: A novel supervised architecture for brain tumor segmentation. - Jinzhen Liu, Liming Chen, Hui Xiong:
An encoder-decoder and modified U-Net network for microwave imaging of stroke. - Linyuan Huang, Feng Liu:
Width measurement of retinal vessels using cubic spline fitting and extended edge-searching mode. - Yiyang Zhao, Jinjiang Li, Zhen Hua:
TACT: Text attention based CNN-Transformer network for polyp segmentation. - Kamakshi Rautela, Dinesh Kumar, Vijay Kumar:
Improved GAN for image resolution enhancement using ViT for breast cancer detection. - Ning Ding, Xu Bao, Shantong Sun, Yun Wang:
High-precision real-time urine crystallization recognition based on dilated bilinear space pyramid ConvNext. - Muhammad Umair Ali, Amad Zafar, Jawad Tanveer, Muhammad Attique Khan, Seong Han Kim, Mashael M. Alsulami, Seung Won Lee:
Deep learning network selection and optimized information fusion for enhanced COVID-19 detection. - A. Jeya Prabha, M. Sameera Fathimal, G. R. Meghana, S. P. Angeline Kirubha:
Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep learning models. - Iqra Ashraf Kiyani, Tehmina Shehryar, Samina Khalid, Uzma Jamil, Adeel Muzaffar Syed:
Deep learning based Glaucoma Network Classification (GNC) using retinal images. - Nithyakalyani Krishnan, P. Muthu:
CVINet: A deep learning based model for the diagnosis of chronic venous insufficiency in lower extremity using infrared thermal images. - Vijayaraj Janarthanan, B. Abirami, Sachi Nandan Mohanty, Kavitha Vellore Pichandi:
An efficient convolutional histogram-oriented gradients and deep convolutional learning approach for accurate classification of bone cancer. - Cong Wang, Meng Gan:
Few-shot segmentation for esophageal OCT images based on self-supervised vision transformer. - Amol Avinash Joshi, Rabia Musheer Aziz:
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data. - Yasar Mehmood, Usama Ijaz Bajwa, Muhammad Waqas Anwar:
Brain tumor grade classification using multi-step pre-training. - Jintao Zhai, Feng Tian, Ang Li, Shengyou Qian, Runmin Wang, Xiao Zou:
A target region extraction method for ultrasound medical images based on improved PRIDNet and UCTransNet.
Expression of Concern
- Expression of Concern: A gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine.
Research Articles
- Jennifer Gotta, Leon D. Grünewald, Simon S. Martin, Christian Booz, Katrin Eichler, Scherwin Mahmoudi, Canan Özdemir Rezazadeh, Philipp Reschke, Teodora Biciusca, Lisa-Joy Juergens, Christoph Mader, Renate M. Hammerstingl, Christof M. Sommer, Thomas J. Vogl, Vitali Koch:
Unmasking pancreatic cancer: Advanced biomedical imaging for its detection in native versus arterial dual-energy computed tomography (DECT) scans. - Lilin Guo, Yu Liang, Ruichao Guo, Zhijian Cao, Jianming Ye, Xiaobo Lai:
Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA. - Thendral Natarajan, Lakshmi Devan, Ramaprabha Palayanoor Seethapathy, Senthil Kumar Balakrishnan:
A customized ConvNeXt-XL network with fusion of deep and handcrafted features for colposcopy image classification. - Qiming He, Siqi Zeng, Shuang Ge, Yanxia Wang, Jing Ye, Yonghong He, Tian Guan, Zhe Wang, Jing Li:
Identifying and matching 12-level multistained glomeruli via deep learning for diagnosis of glomerular diseases. - A. Shyna, Ushadevi Amma C., Ansamma John, C. Kesavadas, Bejoy Thomas:
Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs. - Satish Kumar Chavan, Leeaa Nair, Nishant Nimbalkar, Sarah Solkar:
Karyotyping of human chromosomes in metaphase images using faster R-CNN and inception models. - Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigrahi, Asima Pradhan:
CerviFormer: A pap smear-based cervical cancer classification method using cross-attention and latent transformer. - Saif Ur Rehman Khan, Sohaib Asif, Omair Bilal, Sajid Ali:
Deep hybrid model for Mpox disease diagnosis from skin lesion images. - Yan Zhang, Qingyan Lan, Yemei Sun, Chunming Ma:
A combination of multi-scale and attention based on the U-shaped network for retinal vessel segmentation. - Guohao Xu, Chuantao Wang, Zhuoyuan Li, Jiliang Zhai, Saishuo Wang:
Efficient spine segmentation network based on multi-scale feature extraction and multi-dimensional spatial attention. - Cong Huang, Lihua Deng, Feng Wen, Peng He, Xingshun Zhou, Zhenni Yu, Zilin Zhao, Junde Luo:
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases. - Siying Li, Pan Xia, Yonggang Zou, Lidong Du, Zhenfeng Li, Peng Wang, Xianxiang Chen, Yundai Chen, Yajun Shi, Zhen Fang:
D-Unet: A symmetric architecture of convolutional neural network with two auxiliary outputs for dementia recognition. - Luzhou Liu, Xiaoxia Zhang, Zhinan Xu:
An adaptive weight search method based on the Grey wolf optimizer algorithm for skin lesion ensemble classification. - G. Prince Devaraj, R. Ravi:
Advancing skin cancer diagnosis with a multi-branch ShuffleNet architecture. - Fatma Çelebi, Dudu Boyvat, Serife Ayaz-Guner, Kasim Tasdemir, Kutay Içöz:
Improved senescent cell segmentation on bright-field microscopy images exploiting representation level contrastive learning. - Xidong Fu, Shengchang Shan, Chun Liu, Yu Lu, Zhuqing Jiao:
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment.
Retraction
- Retraction: "Implementation of deep neural networks for classifying electroencephalogram signal using fractional S-transform for epileptic seizure detection".
Research Articles
- Reema Ganotra, Shailender Gupta, Shirin Dora:
A joint autoencoder and classifier deep neural network for AD and MCI classification. - Ju Li, Yanhui Wang, Guoliang Wang:
Brain tumor image segmentation algorithm based on multimodal feature fusion of Bayesian weight distribution. - Syedsafi Shajahan, Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam:
RIBM3DU-Net: Glioma tumour substructures segmentation in magnetic resonance images using residual-inception block with modified 3D U-Net architecture. - Muhammed Yildirim, Hursit Burak Mutlu:
Automatic detection of knee osteoarthritis grading using artificial intelligence-based methods. - Dedong Yang, Jianwen Zhang, Yangyang Li, Zhiquan Ling:
Skin lesion classification based on hybrid self-supervised pretext task. - Muhammad Shahzad, Ruhal Lohana, Khursheed Aurangzeb, Isbah Imtiaz Ali, Muhammad Shahid Anwar, Mahnoor Murtaza, Rauf Ahmed Shams Malick, Piratdin Allayarov:
Identification of biological markers in cancer disease using explainable artificial intelligence. - Minh Phu Lai, Thanh Vinh Pham, Duc Thuc Pham, Thanh Trung Nguyen, Quoc Long Tran, Minh Duc Chu, Ngoc Ha Le, Hong Son Mai, Thi Phuong Nguyen, Thi Nhung Nguyen, Quoc Khanh Le, Duc Thuan Nguyen, Thai Ha Nguyen, Chi Thanh Nguyen:
RR-HCL-SVM: A two-stage framework for assessing remaining thyroid tissue post-thyroidectomy in SPECT images. - Khadidja Messaoudene, Khaled Harrar:
Computerized diagnosis of knee osteoarthritis from x-ray images using combined texture features: Data from the osteoarthritis initiative. - R. Deiva Nayagam, D. Selvathi:
A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images. - Candra Zonyfar, Jeong-Dong Kim:
CAB-Net: Convolutional attention BLSTM network for enhanced leukocyte classification. - Seong-O Shim, Lal Hussain, Wajid Aziz, Abdulrahman A. Alshdadi, Abdulrahman Alzahrani, Abdulfattah Omar:
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach.
Volume 34, Number 3, May 2024
Research Articles
- Vivek Patel, Vijayshri Chaurasia:
Efficient breast cancer diagnosis using multi-level progressive feature aggregation based deep transfer learning system. - Nesrin Aydin Atasoy, Amina Faris Abdulla Al Rahhawi:
Examining the classification performance of pre-trained capsule networks on imbalanced bone marrow cell dataset. - Atiqa Saeed, Muhammad Rehan Chaudhry, Muhammad Umair Ahmad Khan, Muhammad Ahsan Saeed, Ayman A. Ghfar, Muhammad Naveed Yasir, Hafiz Muhammad Salman Ajmal:
Simplifying vein detection for intravenous procedures: A comparative assessment through near-infrared imaging system. - Vahid Sadeghi, Alireza Mehridehnavi, Yasaman Sanahmadi, Sajed Rakhshani, Mina Omrani, Mohsen Sharifi:
Real-time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models. - Temitope Emmanuel Komolafe, Yuchi Tian, Olanrewaju James Awoniya, Shuangqing Chen, Xiaodong Yang:
Comparative analysis of cone-beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms. - Runlin Chen, Yangping Lin, Yanming Ren, Hao Deng, Wenyao Cui, Wenjie Liu:
An efficient brain tumor segmentation model based on group normalization and 3D U-Net. - Meena Lekshmanan Chinna, Joe Prathap Pathrose Mary:
Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images. - Xiaojie Duan, Yanchao Wang, Jianming Wang:
A hybrid convolutional and transformer network for segmentation of coronary computed tomography angiographic slices. - Guodong Zhang, Tingyu Liang, Yanlin Li, Kaichao Liang, Zhaoxuan Gong, Wei Guo, Zhuoning Zhang, Ronghui Ju:
Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention. - Salvador Calderon-Uribe, Luis Alberto Morales-Hernández, Jose O. De Leo-Jimenez, Emmanuel Resendiz-Ochoa, Manuel Toledano-Ayala, Irving A. Cruz-Albarrán:
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months. - Alaa H. Sheer, Hana H. Kareem, Hazim G. Daway:
Lung computed tomography image enhancement using U-Net segmentation. - Xiaojuan Zhang, Ting Ding, Yu Shang, Zhiguo Gui:
An extensive upgrading of contact diffuse CorrelationTomography system. - Xiuyan Li, Ruotong Ding, Qi Wang, Zhenyu Yang, Xiaojie Duan, Yukuan Sun, Aidong Liu:
EENet: Application of convolutional neural network-based deep learning methods in bone tumor pathological diagnosis. - Mehmet Emre Sertkaya, Burhan Ergen, Muammer Türkoglu, Özgür Tonkal:
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi-channel feature extraction and selection. - Junan Zhu, Hongxin Zhu, Zhaohong Jia, Ping Ma:
DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation. - Samra Siddiqui, Tallha Akram, Imran Ashraf, Muddassar Raza, Muhammad Attique Khan, Robertas Damasevicius:
CG-Net: A novel CNN framework for gastrointestinal tract diseases classification. - Balasundaram Muthukumar, Balusupati Veera Venkata Siva Prasad, Yeligeti Raju, Hitendra Kumar Lautre:
Gray level fuzzy deep neural networks for enhancing performance in lung disease detection: A comparative study with fuzzy logic methods. - Yu-Ning Feng, Yu-Hui Zhu, Xiao-Rong Feng, Ju-Fang Wu, Di Wei, Guang-Di Huang, Yun-Dan Jiang:
Predictive value of computed tomography radiomics combined with traditional imaging features in WHO/ISUP grading of clear cell renal carcinoma.
Retraction
- RETRACTION: Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics.
Research Articles
- Hong Pang, Shenghui Liao, Shu Liu, Xiaoyan Kui:
A universal medically assisted model for anatomical landmark detection in radioactive images. - Jianwu Long, Chengxin Yang, Xinlei Song, Ziqin Zeng, Yan Ren:
Polyp segmentation network based on lightweight model and reverse attention mechanisms. - Osamah Taher, Kasim Özacar:
HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X-Ray images. - Yiman Liu, Xiaoxiang Han, Tongtong Liang, Lijun Chen, Bin Dong, Jiajun Yuan, Hansong Wang, Zhifang Zhang, Liebin Zhao, Yuqi Zhang:
Intelligent detection of left ventricular hypertrophy from pediatric echocardiography videos. - Anandh Sam Chandra Bose, C. Srinivasan, S. Surenderanath:
Identification of rheumatoid arthritis using bone image features with radial basis function neural networks. - Jianwu Long, Jian Lin, Jiayin Liu:
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U-shaped network structure. - Guoqing Liu, Yu Guo, Qiyu Jin, Guoqing Chen, Barintag Saheya, Caiying Wu:
A region of interest focused Triple UNet architecture for skin lesion segmentation. - Zhanxiong Wu, Xuanheng Chen, Jiangnan Yu:
3D-SRDM: 3D super-resolution of MRI volumes based on diffusion model. - Rui Li, Chong Mo, Guanglai Wang, Hexiang Wang, Jianping Huang, Wenlong Song:
Accelerating cardiac diffusion tensor imaging using Swin transformer with octave convolution. - Jiao Du, Zhun Cheng, Yuangen Wang, Weisheng Li:
Denoising smooth-detail representation of MRI-SPECT fusion. - Chenxi Yan, Huimin Hou, Tongtong Shen, Huafei Xu, Chen Zhai, Wen Zheng:
Efficient multiscale spatial attention 3D abdominal multiorgan segmentation model. - Enze Yuan, Bin Zhao, Xiao Qin, Shuxue Ding:
Multidimensional perturbed consistency learning for semi-supervised medical image segmentation. - Palak Handa, Nidhi Goel, Indu Sreedevi, Deepak Gunjan:
Comprehensive evaluation of a new automatic scoring system for cleanliness assessment in video capsule endoscopy. - Shrestha Kumar, Md. Asadur Rahman, Pritom Kumar Saha, Mohd Abdur Rashid, Hiroki Higa:
Attempted movement classification of spinal cord injured patients using hybrid CNN-LSTM networks. - Ru Zhang, Fangmin Sheng, Lei Wang, Weiming Zeng:
Research on multi-center assisted diagnosis of ASD based on multimodal feature fusion. - Jianing Du, Qing Chang, Li Lian:
Distributional stochastic Planner-Actor-Critic for deformable image registration. - Snehal Rajput, Rupal Kapdi, Mehul S. Raval, Mohendra Roy, Jayendra M. Bhalodiya:
Deriving and interpreting robust features for survival prediction of brain tumor patients. - Xuanlong He, Hong Yang, Jipan Xu, Hongbo Mu:
SwinRes: A hybrid model that effectively diagnoses COVID-19 through x-ray lung images.
Volume 34, Number 4, July 2024
Research Articles
- Mahesh Gour, Sweta Jain, T. Sunil Kumar:
Robust nuclei segmentation with encoder-decoder network from the histopathological images. - Enes Özlük, Gülsah Öztürk Özlük:
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980-2022. - Sümeyra Büsra Sengül, Ilker Ali Özkan:
MResCaps: Enhancing capsule networks with parallel lanes and residual blocks for high-performance medical image classification. - Liwen Zhang, Rongwei Xia, Baiyang Yang, Jincan Zhang, Jinchan Wang:
MSFNet-2SE: A multi-scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images. - Sihem Nour Elhouda Toumi, Noureddine Belkhamsa, Yazid Cherfa, Assia Bouzouad Cherfa:
An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images. - Jeongeun Hwang, Hyungchul Park, Jooyoung Park, Do Hoon Kim, Namkug Kim:
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow-Band Imaging. - Mehmet Ercan Nergiz:
Classification of the Stages of Nonalcoholic Steatohepatitis via Federated General Visual Representation Learning. - Khursheed Aurangzeb, Sonain Jamil, Musaed A. Alhussein:
Introducing PneumNet - A Groundbreaking Dual Version Deep Learning Model for Pneumonia Disease Detection. - Getnet Tigabie Askale, Demeke Ayele Assress, Ayodeji Olalekan Salau, Achenef Behulu Yibel:
Ensemble of Deep CNN Models for Human Skin Disease Classification. - Mingze Li, Bingbing Zhang, Jian Sun, Jianxin Zhang, Bin Liu, Qiang Zhang:
Weakly Supervised Breast Cancer Classification on WSI Using Transformer and Graph Attention Network. - Vikas Kumar, Manoj Kumar Sharma, Ramalingam Jehadeesan, Balasubramaniam Venkatraman, Debdoot Sheet:
Simulating cross-modal medical images using multi-task adversarial learning of a deep convolutional neural network. - Vivek Harshey, Amar Partap Singh Pharwaha:
Stochastic Class-Attention Net to Detect the Breast Carcinoma Subtypes With Test Time Augmentation. - Marwah Sameer Abed Abed, Ayhan Akbas:
An Approach in Melanoma Skin Cancer Segmentation With Bat Optimization Algorithm. - Ashok Bhansali, P. M. Rekha, Nagamani H. Shahapure, Pallavi G. B., K. Punitha, Shruthishree Surendrarao Honnahalli:
3D mask based lung function monitoring system using machine learning for early identification of lung disorders. - Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya:
A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. - Xiaoxiang Han, Yang Chen, Qiaohong Liu, Yiman Liu, Keyan Chen, Yuanjie Lin, Weikun Zhang:
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion. - Giuseppe Varone, Wadii Boulila, Angelo Pascarella, Sara Gasparini, Umberto Aguglia:
Instrumentation for TMS-EEG Experiment: ArTGen and a Custom EEG Interface. - Yongjie Liu, Yang Li, Mingfeng Jiang, Shuchao Wang, Shitai Ye, Simon Walsh, Guang Yang:
SOCR-YOLO: Small Objects Detection Algorithm in Medical Images. - Ahmed M. Salaheldin, Manal Abdel Wahed, Manar Talaat, Neven Saleh:
Deep Learning-Based Automated Detection and Grading of Papilledema From OCT Images: A Promising Approach for Improved Clinical Diagnosis and Management. - Roaa Soloh, Hassan Alabboud, Ahmad Shahin, Adnan Yassine, Abdallah El Chakik:
Brain Tumor Segmentation Based on α-Expansion Graph Cut. - Yuqiu Fu, Deyue Zang, Baiyou Lin, Qiming He, Yujie Xie, Baoliang Zhang, Yao Liu, Yi Jin, Yonghong He, Tian Guan:
A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD. - S. S. Kumar, R. S. Vinod Kumar:
Transformer Skip-Fusion Based SwinUNet for Liver Segmentation From CT Images. - Changxiong Xie, Jianming Ye, Xiaofei Ma, Leshui Dong, Guohua Zhao, Jingliang Cheng, Guang Yang, Xiaobo Lai:
Automated Segmentation of Brain Gliomas in Multimodal MRI Data. - Mohamed L. Seghier, Habib Zaidi:
University Rankings Are Hurting Academia in Developing Countries: An Urgent Call to Action. - Fengying Ma, Zhi Wang, Peng Ji, Chengcai Fu, Feng Wang:
ResTrans-Unet: A Residual-Aware Transformer-Based Approach to Medical Image Segmentation. - Dan Huang, Luyi Qiu, Zifeng Liu, Yi Ding, Mingsheng Cao:
Res-MulFra: Multilevel and Multiscale Framework for Brain Tumor Segmentation. - Manvir Kaur, Rahul Upadhyay, Vinay Kumar:
A Hybrid Deep Learning Framework Using Scaling-Basis Chirplet Transform for Motor Imagery EEG Recognition in Brain-Computer Interface Applications. - Yiyuan Xie, Lei Yu, Cheng Ding:
CFIFusion: Dual-Branch Complementary Feature Injection Network for Medical Image Fusion. - Kai Wang, Hirotaka Hachiya, Haiyuan Wu:
A Multi-Fusion Residual Attention U-Net Using Temporal Information for Segmentation of Left Ventricular Structures in 2D Echocardiographic Videos. - Tamalika Chaira, Arun Sarkar:
Pythagorean Fuzzy Set for Enhancement of Low Contrast Mammogram Images. - Yang Yang, Seong Young Ko:
Cross-Species Segmentation of Animal Prostate Using a Human Prostate Dataset and Limited Preoperative Animal Images: A Sampled Experiment on Dog Prostate Tissue. - Xinyang Wen, Zhuoxuan Liu, Yanbo Chu, Min Le, Liang Li:
MRCM-UCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone-Beam CT Images. - Ali Yazdani, Ahmadreza Okhovat, Raheleh Doosti, Hamid Soltanian-Zadeh:
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging. - Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha:
Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection. - Shanshan Wang, Ling Jian, Kaiyan Li, Pingping Zhou, Liang Zeng:
Multiscale Feature Fusion Method for Liver Cirrhosis Classification. - Elif Nur Haner Kirgil, Çagatay Berke Erdas:
Enhancing Skin Disease Diagnosis Through Deep Learning: A Comprehensive Study on Dermoscopic Image Preprocessing and Classification. - Cong Hu, Wenwen Jiang, Tian Zhou, Chunting Wan, Aijun Zhu:
Convolutional Neural Network-Based CT Image Segmentation of Kidney Tumours. - Yibo Wan, Gaofeng Wei, Renxing Li, Yifan Xiang, Dechao Yin, Minglei Yang, Deren Gong, Jiangang Chen:
Retinal Blood Vessels Segmentation With Improved SE-UNet Model. - Sourav Kumar Tanwar, Prakash Choudhary, Priyanka, Tarun Agrawal:
HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images. - Wei Zhang, Wei Jin, Seungmin Rho, Feng Jiang, Chifu Yang:
A Federated Learning Framework for Brain Tumor Segmentation Without Sharing Patient Data.
Volume 34, Number 5, September 2024
Research Article
- Liu Zhipeng, Wu Jiawei, Jing Ye, Xuefeng Bian, Wu Qiwei, Rui Li, Yinxing Zhu:
ADT-UNet: An Innovative Algorithm for Glioma Segmentation in MR Images. - Yu Gu, Jiaqi Liu, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Dahua Yu, Ying Zhao, Siyuan Tang, Qun He:
Cover Image. - Ritesh Maurya, Nageshwar Nath Pandey, Karnati Mohan, Geet Sahu:
Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection. - Abbadullah H. Saleh, Ümit Atila, Oguzhan Menemencioglu:
Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures. - Youssef Mourdi, Hanane Allioui, Mohamed Sadgal:
Improving COVID-19 Detection Through Cooperative Deep-Learning Pipeline for Lung Semantic Segmentation in Medical Imaging. - S. Venkatesan, M. Kempanna, J. Nagaraja, A. Bhuvanesh:
A Novel Classification Approach for Retinal Disease Using Improved Gannet Optimization-Based Capsule DenseNet. - Modupe Odusami, Robertas Damasevicius, Egle Milieskaite-Belousoviene, Rytis Maskeliunas:
Multimodal Neuroimaging Fusion for Alzheimer's Disease: An Image Colorization Approach With Mobile Vision Transformer. - Agrawal Luckykumar Dwarkadas, Viswanath Talasila, Sheeraz Kirmani, Rama Krishna Challa, K. G. Srinivasa:
Application of Non-Immersive Virtual Reality in Cerebral Palsy Children: A Systematic Review. - Sarvat Ali, Shital Raut:
Smartphone App to Detect Pathological Myopia Using Spatial Attention and Squeeze-Excitation Network as a Classifier and Segmentation Encoder. - Rawaa Hamdi, Asma Kerkeni, Asma Ben Abdallah, Mohamed Hedi Bedoui:
CAS-GAN: A Novel Generative Adversarial Network-Based Architecture for Coronary Artery Segmentation. - Xiangyu Deng, Zhiyan Dang, Lihao Pan:
STU3Net: An Improved U-Net With Swin Transformer Fusion for Thyroid Nodule Segmentation. - Dengao Li, Yujia Mu, Jumin Zhao, Changcheng Shi, Fei Wang:
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis. - Lanyan Xue, Wenjun Zhang, Lizheng Lu, Yunsheng Chen, Kaibin Li:
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins. - Massimo Salvi, Nicola Michielli, Lorenzo Salamone, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Mauro Papotti, Filippo Molinari:
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology. - Haiyang Zheng, Feng Liu:
A Cascade U-Net With Transformer for Retinal Multi-Lesion Segmentation. - S. Malaiarasan, R. Ravi:
Integrating Multi-Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification. - Xiaoli Luo, Renhao Jiao, Tao Ma, Yunjie Liu, Zhu Gao, Xiuhong Shen, Qianqian Ren, Heng Zhang, Xiaowei He:
Reduction Accelerated Adaptive Step-Size FISTA Based Smooth-Lasso Regularization for Fluorescence Molecular Tomography Reconstruction. - Yingyue Zhou, Junfei Guo, Hanmin Yao, Jiaqi Zhao, Xiaoxia Li, Jiamin Qin, Shuangli Liu:
A Dynamic Multi-Output Convolutional Neural Network for Skin Lesion Classification. - Zahraa Al-Milaji, Hayder Yousif:
Lightweight Deep Learning Model Optimization for Medical Image Analysis. - Mustafa Fatih Erkoc, Hasan Ulutas, Muhammet Emin Sahin:
Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods. - Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, Md Abdul Wahed, Faiaz Hasanuzzaman Rhythm, Ayat Subah Alam:
A Novel Dual Attention Approach for DNN Based Automated Diabetic Retinopathy Grading. - Jainy Sachdeva, Deepanshu Sharma, Chirag Kamal Ahuja, Arnavdeep Singh:
Efficient-Residual Net - A Hybrid Neural Network for Automated Brain Tumor Detection. - Tallha Akram, Anas Alsuhaibani, Muhammad Attique Khan, Sajid Ullah Khan, Syed Rameez Naqvi, Mohsin Bilal:
Dermo-Optimizer: Skin Lesion Classification Using Information-Theoretic Deep Feature Fusion and Entropy-Controlled Binary Bat Optimization. - Ruiming Zhu, Xinliang Liu, Mingrui Li, Wei Qian, Yueyang Teng:
A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis. - Yu Gu, Jiaqi Liu, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Dahua Yu, Ying Zhao, Siyuan Tang, Qun He:
SSANet - Novel Residual Network for Computer-Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography. - Ahmet Nusret Toprak, Ibrahim Aruk:
A Hybrid Convolutional Neural Network Model for the Classification of Multi-Class Skin Cancer. - Narjes Benameur, Ameni Sassi, Wael Ouarda, Ramzi Mahmoudi, Younes Arous, Mazin Abed Mohammed, Chokri Ben Amar, Salam Labidi, Halima Mahjoubi:
Deciphering the Complexities of COVID-19-Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework. - Zengan Huang, Shan Gao, Xiaxia Yu, Liangjia Zhu, Yi Gao:
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba-Based Network for Registration Performance Enhancement. - Hüseyin Firat, Hüseyin Üzen, Davut Hanbay, Abdulkadir Sengür:
ConvNext Mixer-Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images. - Mingzhe Li, Ningfeng Que, Juanhua Zhang, Pingfang Du, Yin Dai:
VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells. - Junding Sun, Xiaopeng Zheng, Xiaosheng Wu, Chaosheng Tang, Shuihua Wang, Yudong Zhang:
CasUNeXt: A Cascaded Transformer With Intra- and Inter-Scale Information for Medical Image Segmentation. - Xiaoliang Lei, Xiaosheng Yu, Maocheng Bai, Jingsi Zhang, Chengdong Wu:
Adapting Segment Anything Model for 3D Brain Tumor Segmentation With Missing Modalities. - Jinka Sreedhar, Suresh Dara, C. H. Srinivasulu, Butchi Raju Katari, Ahmed Alkhayyat, Ankit Vidyarthi, Mashael M. Alsulami:
A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans. - Ning Zhao, Cheng Chang, Yuanyuan Liu, Xiao Li, Zicheng Song, Yue Guo, Jianwen Chen, Hao Sun:
An Automatic Measurement Method of the Tibial Deformity Angle on X-Ray Films Based on Deep Learning Keypoint Detection Network. - Bijoyeta Roy, Mousumi Gupta, Bidyut Krishna Goswami:
Revolutionizing Colon Histopathology Glandular Segmentation Using an Ensemble Network With Watershed Algorithm. - Zhanlin Ji, Xiaoyu Li, Zhiwu Wang, Haiyang Zhang, Na Yuan, Xueji Zhang, Ivan Ganchev:
CafeNet: A Novel Multi-Scale Context Aggregation and Multi-Level Foreground Enhancement Network for Polyp Segmentation. - Krishnakumar Subramaniam, Archana Naganathan:
RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis. - Sungwon Ham, Beomhee Park, Jihye Yun, Sang Min Lee, Joon Beom Seo, Namkug Kim:
Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases. - Daniel Hernández, Taewoo Nam, Eunwoo Lee, Guen Bae Ko, Jae Sung Lee, Kyoung-Nam Kim:
Simulation Design of a Triple Antenna Combination for PET-MRI Imaging Compatible With 3, 7, and 11.74 T MRI Scanner. - Yongtao Shi, Wei Du, Chao Gao, Xinzhi Li:
Cross-Layer Connection SegFormer Attention U-Net for Efficient TRUS Image Segmentation.
Correction
- Correction to "Multi-Branch Sustainable Convolutional Neural Network for Disease Classification".
Volume 34, Number 6, November 2024
Editorial
- Mohamed L. Seghier:
Image Segmentation Evaluation With the Dice Index: Methodological Issues.
Research Article
- Ying Wang, Meng Zhang, Jianan Liang, Meiyan Liang:
MFH-Net: A Hybrid CNN-Transformer Network Based Multi-Scale Fusion for Medical Image Segmentation. - Solange Doumun Oulai, Sophie Dabo-Niang, Jérémie T. Zoueu:
A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization. - N. Rathan, S. Lokesh:
Enhanced Lung Cancer Diagnosis and Staging With HRNeT: A Deep Learning Approach. - Said Charfi, Mohamed El Ansari, Lahcen Koutti, Ilyas El Jaafari, Ayoub Ellahyani:
Feature Pyramid Network Based Spatial Attention and Cross-Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. - Nannan Lu, Hongyan Shu:
Optimization and Application Analysis of Phase Correction Method Based on Improved Image Registration in Ultrasonic Image Detection. - Sajid Ullah Khan, Meshal Alharbi, Sajid Shah, Mohammed Ahmed El-Affendi:
Medical Image Fusion for Multiple Diseases Features Enhancement. - Zhinan Xu, Xiaoxia Zhang, Luzhou Liu:
M-Net: A Skin Cancer Classification With Improved Convolutional Neural Network Based on the Enhanced Gray Wolf Optimization Algorithm. - Jierui Gan, Hongqing Zhu, Tianwei Qian, Jiahao Liu, Ning Chen, Ziying Wang:
FDT-Net: Frequency-Aware Dual-Branch Transformer-Based Optic Cup and Optic Disk Segmentation With Parallel Contour Information Mining and Uncertainty-Guided Refinement. - Xueri Li, Li Wen, Fanyu Du, Lei Yang, Jianfang Wu:
Recognition of Diabetic Retinopathy Grades Based on Data Augmentation and Attention Mechanisms. - Bin Liu, Bing Li, Yaojing Chen, Victor Sreeram, Shuofeng Li:
Fast-MedNeXt: Accelerating the MedNeXt Architecture to Improve Brain Tumour Segmentation Efficiency. - Xiaoyan Sun, Chuhan Hu, Wenhan He, Zhenming Yuan, Jian Zhang:
Multimodal Connectivity-Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U-Net. - Tomas Pokorny, Tomas Drizdal, Marek Novák, Jan Vrba:
Automated, Reproducible, and Reconfigurable Human Head Phantom for Experimental Testing of Microwave Systems for Stroke Classification. - Fangmin Sheng, Yuhu Shi, Lei Wang, Ying Li, Hua Zhang, Weiming Zeng:
A Novel Dictionary Learning Algorithm Based on Prior Knowledge for fMRI Data Analysis. - Abdus Salam, S. M. Nahid Hasan, Md. Jawadul Karim, Shamim Anower, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, M. Murugappan:
Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model. - Ahmadsaidulu Shaik, Abhishek Tiwari, Bala Chakravarthy Neelapu, Puneet Kumar Jain, Earu Banoth:
Advancing Leukocyte Classification: A Cutting-Edge Deep Learning Approach for AI-Driven Clinical Diagnosis. - Bojie Zhang, Hongqing Zhu, Ziying Wang, Lan Luo, Yang Yu:
DAG-Net: Dual-Branch Attention-Guided Network for Multi-Scale Information Fusion in Lung Nodule Segmentation. - A. Arul Edwin Raj, Nabihah Binti Ahmad, S. Ananiah Durai, R. Renugadevi:
Integrating VGG 19 U-Net for Breast Thermogram Segmentation and Hybrid Enhancement With Optimized Classifier Selection: A Novel Approach to Breast Cancer Diagnosis. - Francesco Branciforti, Maura Maggiore, Kristen M. Meiburger, Tania Pannellini, Massimo Salvi:
Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement. - Ying Cheng, Xianjin Fang, Zhiri Tang, Zekuan Yu, Linlin Sun, Li Zhu:
SDR2Tr-GAN: A Novel Medical Image Fusion Pipeline Based on GAN With SDR2 Module and Transformer Optimization Strategy. - Ayoub Abderrazak Maarouf, Meriem Hacini, Fella Hachouf:
Deep Learning and Handcrafted Features for Thyroid Nodule Classification. - Le Zhang, Yue Liang, Xiaokang Hu, Taorong Qiu, Pan Xu:
A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR. - Abdul Qadir Khan, Guangmin Sun, Majdi Khalid, Majed Farrash, Anas Bilal:
Multi-Deep Learning Approach With Transfer Learning for 7-Stages Diabetic Retinopathy Classification. - Nirmala Veeramani, Premaladha Jayaraman:
YOLOv7-XAI: Multi-Class Skin Lesion Diagnosis Using Explainable AI With Fair Decision Making. - Hayette Oudjer, Assia Cherfa, Yazid Cherfa, Noureddine Belkhamsa:
Segmentation and Classification of Breast Masses From the Whole Mammography Images Using Transfer Learning and BI-RADS Characteristics. - Zhanao Meng, Qing Xiang, Jian Cao, Yahao Guo, Sisi Deng, Tao Luo, Yue Zhang, Ke Zhang, Xuan Zhu, Kun Ma, Xiaohong Wang, Jie Qin:
Dual-Low Technology in Coronary and Abdominal CT Angiography: A Comparative Study of Deep Learning Image Reconstruction and Adaptive Statistic Iterative Reconstruction-Veo. - Dongyue Wang, Weiyu Zhao, Kaixuan Cui, Yi Zhu:
VMC-UNet: A Vision Mamba-CNN U-Net for Tumor Segmentation in Breast Ultrasound Image. - Jingying Zhu, Yufeng Zhang, Bingbing He, Zhiyao Li, Li Xiong, Xun Lang:
Suppression of the Tissue Component With the Total Least-Squares Algorithm to Improve Second Harmonic Imaging of Ultrasound Contrast Agents. - Mohammad Mehdi Hosseini, Zahra Mosahebeh, Somenath Chakraborty, Abdorreza Alavi Gharahbagh:
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging. - Zhifang Deng, Yangdong Wu:
CATNet: A Cross Attention and Texture-Aware Network for Polyp Segmentation. - Ashir Javeed, Peter Anderberg, Muhammad Asim Saleem, Ahmad Nauman Ghazi, Johan Sanmartin Berglund:
Unveiling Cancer: A Data-Driven Approach for Early Identification and Prediction Using F-RUS-RF Model. - Yu Liang, Dongjie Li, Jiaxin Ren, Weida Gao, Yao Zhang:
A Lightweight Multimodal Xception Network for Glioma Grading Using MRI Images.
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