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ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging

Select Proceedings

  • Anubha Gupta
  • Ritu Gupta
Conference proceedings

Part of the Lecture Notes in Bioengineering book series (LNBE)

Table of contents

  1. Front Matter
    Pages i-x
  2. Yifan Ding, Yujia Yang, Yan Cui
    Pages 33-41
  3. Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Weishi Zheng
    Pages 43-51
  4. Rahul Kulhalli, Chinmay Savadikar, Bhushan Garware
    Pages 63-72
  5. Yongsheng Pan, Mingxia Liu, Yong Xia, Dinggang Shen
    Pages 73-82
  6. Fenrui Xiao, Ruifeng Kuang, Zhonghong Ou, Baiqiao Xiong
    Pages 83-93
  7. Xinpeng Xie, Yuexiang Li, Menglu Zhang, Yong Wu, Linlin Shen
    Pages 95-102

About these proceedings

Introduction

This book comprises select peer-reviewed proceedings of the medical challenge - C-NMC challenge: Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. The challenge was run as part of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI) 2019 held at Venice, Italy in April 2019. Cell classification via image processing has recently gained interest from the point of view of building computer-assisted diagnostic tools for blood disorders such as leukaemia. In order to arrive at a conclusive decision on disease diagnosis and degree of progression, it is very important to identify malignant cells with high accuracy. Computer-assisted tools can be very helpful in automating the process of cell segmentation and identification because morphologically both cell types appear similar. This particular challenge was run on a curated data set of more than 14000 cell images of very high quality. More than 200 international teams participated in the challenge. This book covers various solutions using machine learning and deep learning approaches. The book will prove useful for academics, researchers, and professionals interested in building low-cost automated diagnostic tools for cancer diagnosis and treatment.

Keywords

Biomedical imaging Cancer imaging Deep learning Signal processing Computer assisted diagnosis ISBI 2019 challenges

Editors and affiliations

  • Anubha Gupta
    • 1
  • Ritu Gupta
    • 2
  1. 1.IIIT DelhiNew DelhiIndia
  2. 2.Laboratory OncologyAIIMSNew DelhiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-0798-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-981-15-0797-7
  • Online ISBN 978-981-15-0798-4
  • Series Print ISSN 2195-271X
  • Series Online ISSN 2195-2728
  • Buy this book on publisher's site