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Current Applications of Deep Learning in Cancer Diagnostics (Hardcover)
- First book to focus on deep learning-based approaches in the field of cancer diagnostics. - Covers the state of the art across a wide-range of topics. - Topics include preprocessing data, prediction of cancer susceptibility and reoccurence, detection of different cancers, complexity and challenges.
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Product Description
- First book to focus on deep learning-based approaches in the field of cancer diagnostics. - Covers the state of the art across a wide-range of topics. - Topics include preprocessing data, prediction of cancer susceptibility and reoccurence, detection of different cancers, complexity and challenges.
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Product Details
General
Imprint | Taylor & Francis |
Country of origin | United Kingdom |
Release date | February 2023 |
Availability | Expected to ship within 9 - 15 working days |
First published | 2023 |
Editors | Jyotismita Chaki, Aysegul Ucar |
Dimensions | 234 x 156mm (L x W) |
Format | Hardcover |
Pages | 167 |
ISBN-13 | 978-1-03-223385-7 |
Barcode | 9781032233857 |
Categories | |
LSN | 1-03-223385-0 |
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