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Isbi 2019 Cnmc Challenge Classification In Cancer Cell Imaging Select Proceedings 1st Ed 2019 Anubha Gupta

  • SKU: BELL-10806064
Isbi 2019 Cnmc Challenge Classification In Cancer Cell Imaging Select Proceedings 1st Ed 2019 Anubha Gupta
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Isbi 2019 Cnmc Challenge Classification In Cancer Cell Imaging Select Proceedings 1st Ed 2019 Anubha Gupta instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 4.92 MB
Author: Anubha Gupta, Ritu Gupta
ISBN: 9789811507977, 9789811507984, 981150797X, 9811507988
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Isbi 2019 Cnmc Challenge Classification In Cancer Cell Imaging Select Proceedings 1st Ed 2019 Anubha Gupta by Anubha Gupta, Ritu Gupta 9789811507977, 9789811507984, 981150797X, 9811507988 instant download after payment.

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.

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