Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications: 204 (Intelligent Systems Reference Library) - Tapa blanda

Libro 174 de 188: Intelligent Systems Reference Library
 
9783030719777: Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications: 204 (Intelligent Systems Reference Library)
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ISBN 10: 3030719774 ISBN 13: 9783030719777
Editorial: Springer, 2022

Sinopsis

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.  


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De la contraportada

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.


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Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3030719774
ISBN 13 
9783030719777
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
476
Editor
Nayak Janmenjoy, Favorskaya Margarita N., Jain Seema, Naik Bighnaraj, Mishra Manohar
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Otras ediciones populares con el mismo título

9783030719746: Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications: 204 (Intelligent Systems Reference Library, 204)

Edición Destacada

ISBN 10:  303071974X ISBN 13:  9783030719746
Editorial: Springer, 2021
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