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Advanced Machine Learning Approaches in Cancer Prognosis

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Description

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.  
Release date Australia
May 31st, 2022
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Contributors
  • Edited by Bighnaraj Naik
  • Edited by Janmenjoy Nayak
  • Edited by Manohar Mishra
  • Edited by Margarita N. Favorskaya
  • Edited by Seema Jain
Edition
1st ed. 2021
Illustrations
168 Illustrations, color; 68 Illustrations, black and white; XX, 454 p. 236 illus., 168 illus. in color.
Pages
454
ISBN-13
9783030719777
Product ID
35844347

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