ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging - Select Proceedings (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Lecture Notes in Bioengineering
Release date:	February 2021
First published:	2019
Editors:	Anubha Gupta • Ritu Gupta
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	147
Edition:	1st ed. 2019
ISBN-13:	978-981-15-0800-4
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-15-0800-3
Barcode:	9789811508004

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