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Pattern Recognition and Machine Intelligence

8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Bhabesh Deka

    1. Tezpur University, Tezpur, India

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  2. Pradipta Maji

    1. Indian Statistical Institute, Kolkata, India

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  3. Sushmita Mitra

    1. Indian Statistical Institute, Kolkata, India

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  4. Dhruba Kumar Bhattacharyya

    1. Tezpur University, Tezpur, India

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  5. Prabin Kumar Bora

    1. Indian Institute of Technology Guwahati, Guwahati, India

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  6. Sankar Kumar Pal

    1. Indian Statistical Institute, Kolkata, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11942)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: PReMI 2019.

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About this book

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019.

The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

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Keywords

Table of contents (64 papers)

  1. Front Matter

    Pages i-l
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  2. Medical Image Processing

    1. Front Matter

      Pages 1-1
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    2. On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples

      • Daisy Das, Lipi B. Mahanta
      Pages 3-12

    3. Automated Counting of Platelets and White Blood Cells from Blood Smear Images

      • Lipi B. Mahanta, Kangkana Bora, Sourav Jyoti Kalita, Priyangshu Yogi
      Pages 13-20

    4. An Efficient Method for Automatic Recognition of Virus Particles in TEM Images

      • Debamita Kumar, Pradipta Maji
      Pages 21-31

    5. Detection of Necrosis in Mice Liver Tissue Using Deep Convolutional Neural Network

      • Nilanjana Dutta Roy, Arindam Biswas, Souvik Ghosh, Rajarshi Lahiri, Abhijit Mitra, Manabendra Dutta Choudhury
      Pages 32-40

    6. Bayesian Deep Learning for Deformable Medical Image Registration

      • Vijay S. Deshpande, Jignesh S. Bhatt
      Pages 41-49

    7. Design and Analysis of an Isotropic Wavelet Features-Based Classification Algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological Images

      • Manas Jyoti Das, Lipi B. Mahanta
      Pages 50-60

    8. Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections

      • Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
      Pages 61-69

    9. Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI

      • Sumit Datta, Bhabesh Deka
      Pages 70-77

    10. Sparse Representation Based Super-Resolution of MRI Images with Non-Local Total Variation Regularization

      • Bhabesh Deka, Helal Uddin Mullah, Sumit Datta, Vijaya Lakshmi, Rajarajeswari Ganesan
      Pages 78-86

    11. QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation

      • Debanjan Konar, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi
      Pages 87-95

    12. Colonoscopic Image Polyp Classification Using Texture Features

      • Pradipta Sasmal, M. K. Bhuyan, Kangkana Bora, Yuji Iwahori, Kunio Kasugai
      Pages 96-101

  3. Bioinformatics and Biomedical Signal Processing

    1. Front Matter

      Pages 103-103
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    2. GRaphical Footprint Based Alignment-Free Method (GRAFree) for Classifying the Species in Large-Scale Genomics

      • Aritra Mahapatra, Jayanta Mukherjee
      Pages 105-112

    3. Density-Based Clustering of Functionally Similar Genes Using Biological Knowledge

      • Namrata Pant, Sushmita Paul
      Pages 113-121

    4. Impact of the Continuous Evolution of Gene Ontology on Similarity Measures

      • Madhusudan Paul, Ashish Anand, Saptarshi Pyne
      Pages 122-129

    5. DEGnet: Identifying Differentially Expressed Genes Using Deep Neural Network from RNA-Seq Datasets

      • Tulika Kakati, Dhruba K. Bhattacharyya, Jugal K. Kalita
      Pages 130-138

    6. Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes

      • Indrajit Saha, Somnath Rakshit, Michal Denkiewicz, Jnanendra Prasad Sarkar, Debasree Maity, Ujjwal Maulik et al.
      Pages 139-146

    7. Deep Learning Based Fully Automated Decision Making for Intravitreal Anti-VEGF Therapy

      • Simran Barnwal, Vineeta Das, Prabin Kumar Bora
      Pages 147-155
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Other volumes

  1. Pattern Recognition and Machine Intelligence

  2. Pattern Recognition and Machine Intelligence

Editors and Affiliations

  • Tezpur University, Tezpur, India

    Bhabesh Deka, Dhruba Kumar Bhattacharyya

  • Indian Statistical Institute, Kolkata, India

    Pradipta Maji, Sushmita Mitra, Sankar Kumar Pal

  • Indian Institute of Technology Guwahati, Guwahati, India

    Prabin Kumar Bora

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