Recent Advances in AI-enabled Automated Medical Diagnosis (Hardcover)

Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	October 2022
First published:	2022
Editors:	Richard Jiang • Danny Crookes • Hua-Liang Wei • Li Zhang • Paul Chazot
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	364
ISBN-13:	978-1-03-200843-1
Categories:	Books > Medicine > Clinical & internal medicine > Medical diagnosis > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-03-200843-1
Barcode:	9781032008431

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