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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications

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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications - Nayak, Janmenjoy (Editor), and Favorskaya, Margarita N. (Editor), and Jain, Seema (Editor)
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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 ...

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Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030719777

Paperback

Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications 2021, Springer, Cham

ISBN-13: 9783030719746

2021 edition

Hardcover