书目名称 | ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging |
副标题 | Select Proceedings |
编辑 | Anubha Gupta,Ritu Gupta |
视频video | |
概述 | 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 |
丛书名称 | Lecture Notes in Bioengineering |
图书封面 |  |
描述 | .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 |
出版日期 | Conference proceedings 2019 |
关键词 | Biomedical imaging; Cancer imaging; Deep learning; Signal processing; Computer assisted diagnosis; ISBI 2 |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-15-0798-4 |
isbn_softcover | 978-981-15-0800-4 |
isbn_ebook | 978-981-15-0798-4Series ISSN 2195-271X Series E-ISSN 2195-2728 |
issn_series | 2195-271X |
copyright | Springer Nature Singapore Pte Ltd. 2019 |