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Current Applications of Deep Learning in Cancer Diagnostics on Hardback
Current Applications of Deep Learning in Cancer Diagnostics on Hardback
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Current Applications of Deep Learning in Cancer Diagnostics

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Hardback
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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.

Author Biography:

Jyotismita Chaki, PhD, is an Associate Professor at School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Aysegul Ucar, PhD, is a Professor in Department of Mechatronics Engineering, Firat University, Turkey.
Release date Australia
February 22nd, 2023
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Contributors
  • Edited by Aysegul Ucar
  • Edited by Jyotismita Chaki
Illustrations
19 Tables, black and white; 16 Line drawings, color; 28 Line drawings, black and white; 14 Halftones, color; 21 Halftones, black and white; 27 Illustrations, color; 52 Illustrations, black and white
Pages
167
ISBN-13
9781032233857
Product ID
35957785

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