Machine Learning in Computer-Aided Diagnosis - Medical Imaging Intelligence and Analysis (Hardcover)

Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals.

General

Imprint:	Idea Group,U.S.
Country of origin:	United States
Series:	Advances in Bioinformatics and Biomedical Engineering
Release date:	2012
First published:	May 2012
Editors:	Kenji Suzuki
Dimensions:	280 x 216 x 28mm (L x W x T)
Format:	Hardcover
Pages:	524
ISBN-13:	978-1-4666-0059-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-4666-0059-4
Barcode:	9781466600591

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