DownloadThe Portobello Bookshop Gift Guide 2024

Current Applications of Deep Learning in Cancer Diagnostics

Jyotismita Chaki editor Aysegul Ucar editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:22nd Feb '23

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Current Applications of Deep Learning in Cancer Diagnostics cover

This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the grading of human cancer, different human cancer detection using deep learning techniques, prediction of cancer survival using deep learning techniques, complexity in the use of deep learning in cancer diagnostics, and challenges and future scopes of deep learning techniques in oncology.

ISBN: 9781032233857

Dimensions: unknown

Weight: 440g

167 pages