- 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.
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.
Title: Current Applications of Deep Learning in Cancer Diagnostics
Author:
ISBN: 9781032233857
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2023-02-22
Number of Pages: 167
Weight: 0.4401 kg