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ISBI 2019 C-NMC challengeclassificat...

Gupta, Anubha.

ISBI 2019 C-NMC challengeclassification in cancer cell imaging : select proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	ISBI 2019 C-NMC challengeedited by Anubha Gupta, Ritu Gupta.
其他題名:	classification in cancer cell imaging : select proceedings /
其他作者:	Gupta, Anubha.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	x, 147 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Cancer cellsHandbooks, manuals, etc.
電子資源:	https://doi.org/10.1007/978-981-15-0798-4
ISBN:	9789811507984$q(electronic bk.)

ISBI 2019 C-NMC challengeclassification in cancer cell imaging : select proceedings /
ISBI 2019 C-NMC challengeclassification in cancer cell imaging : select proceedings /[electronic resource] :edited by Anubha Gupta, Ritu Gupta. - Singapore :Springer Singapore :2019. - x, 147 p. :ill., digital ;24 cm. - Lecture notes in bioengineering,2195-271X. - Lecture notes in bioengineering..

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.

ISBN: 9789811507984$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0798-4doiSubjects--Topical Terms:

502015
Cancer cells
--Handbooks, manuals, etc.

LC Class. No.: RC269 / .I835 2019

Dewey Class. No.: 616.99407

ISBI 2019 C-NMC challengeclassification in cancer cell imaging : select proceedings /
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