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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
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.
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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