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Current Applications of Deep Learning in Cancer Diagnostics

Edited by Jyotismita Chaki, Edited by Aysegul Ucar

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normal price: R 2 081.95

Price: R 1 873.95


| book description |

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.

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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Taylor & Francis Ltd
Published date | 9 Oct 2024
Language |
Format | Paperback / softback
Pages | 167
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 340g
ISBN | 978-1-0322-2319-3
Readership Age |
BISAC | computers / computer graphics / game programming


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 2 460.95
Price | R 2 214.95 | on special |



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