Deep Learning for Medical Decision Support Systems (Hardcover, 1st ed. 2021)

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today's problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 909
Release date:	June 2020
First published:	2021
Authors:	Utku Kose • Omer Deperlioglu • Jafar Alzubi • Bogdan Patrut
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	171
Edition:	1st ed. 2021
ISBN-13:	978-981-15-6324-9
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-15-6324-1
Barcode:	9789811563249

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