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Lecture Notes in Bioengineering

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

Select Proceedings

Editors: Gupta, Anubha, Gupta, Ritu (Eds.)

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  • Comprises select contribution from the IEEE ISBI challenge on white blood cancer imaging
  • Presents results obtained from more than 14000 cancer cell images 
  • Discusses potential low-cost medical imaging tools for cancer detection and treatment
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eBook 128,39 €
price for Spain (gross)
  • ISBN 978-981-15-0798-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • Due: February 4, 2020
  • ISBN 978-981-15-0797-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

Dr. Anubha Gupta received her PhD in Electrical Engineering from Indian Institute of Technology (IIT) Delhi in 2006. She completed her second Master’s as a full time student from the University of Maryland, College Park, USA from 2008-2010 in education with concentration: Higher Education Leadership and Policy Studies. She worked as Assistant Director with the Ministry of Information and Broadcasting, Government of India (through Indian Engineering Services) from 1993 to 1999 and as faculty for about 10 years before joining IIIT Delhi in December 2013, where she is currently working as Professor. She has author/co-authored over 80 technical papers in scientific journals and conferences. She has also filed 4 patents. She has published research papers in both engineering and education. Her research interests include biomedical signal and image processing including fMRI, MRI, DTI, EEG, ECG signal processing, genomics signal processing in cancer research, wavelets in deep learning, and signal processing for communication engineering. Dr. Gupta is a senior member of IEEE Signal processing Society, a member of IEEE Women in Engineering Society, and is Associate Editor of IEEE Access journal. 

Dr. Ritu Gupta is Professor of Laboratory Oncology at the All India Institute of Medical Sciences (AIIMS), New Delhi. She is currently spearheading the cancer laboratories at Dr. B.R. Ambedkar IRCH, AIIMS and is actively engaged in establishing diagnostic and research laboratories at the National Cancer Institute (NCI), Jhajjar, India. Dr. Gupta and her research group have established Unit of Excellence on Multiple Myeloma at AIIMS. Her lab is investigating the genomic and epigenomic alterations responsible for disease progression and treatment response in chronic lymphocytic leukemia and the molecular basis of disease heterogeneity in multiple myeloma. She is currently evaluating the prognostic and therapeutic implications of leukemic stem cells in acute myeloid leukemia. As a hematopathologist, she has a keen interest in digital processing of tumor cells and is working on image processing based software solutions for clinical applications. She has published more than 80 papers in peer reviewed journals and is actively engaged in academic activities at the national level for training of medical fraternity on advanced laboratory diagnostics including multi-parametric flow cytometry and molecular assays for clinical diagnostics and research.      

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Classification of Normal Versus Malignant Cells in B-ALL White Blood Cancer Microscopic Images

    Pages 1-12

    Honnalgere, Atmika (et al.)

  • Classification of Leukemic B-Lymphoblast Cells from Blood Smear Microscopic Images with an Attention-Based Deep Learning Method and Advanced Augmentation Techniques

    Pages 13-22

    Marzahl, Christian (et al.)

  • Classification of Normal and Leukemic Blast Cells in B-ALL Cancer Using a Combination of Convolutional and Recurrent Neural Networks

    Pages 23-31

    Shah, Salman (et al.)

  • Deep Learning for Classifying of White Blood Cancer

    Pages 33-41

    Ding, Yifan (et al.)

  • Ensemble Convolutional Neural Networks for Cell Classification in Microscopic Images

    Pages 43-51

    Shi, Tian (et al.)

Buy this book

eBook 128,39 €
price for Spain (gross)
  • ISBN 978-981-15-0798-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • Due: February 4, 2020
  • ISBN 978-981-15-0797-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging
Book Subtitle
Select Proceedings
Editors
  • Anubha Gupta
  • Ritu Gupta
Series Title
Lecture Notes in Bioengineering
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-0798-4
DOI
10.1007/978-981-15-0798-4
Hardcover ISBN
978-981-15-0797-7
Series ISSN
2195-271X
Edition Number
1
Number of Pages
X, 147
Number of Illustrations
3 b/w illustrations, 61 illustrations in colour
Topics