Machine Learning and Medical Imaging (Hardcover)

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	The MICCAI Society book Series
Release date:	August 2016
Editors:	Guorong Wu • Dinggang Shen • Mert Sabuncu
Dimensions:	235 x 191 x 32mm (L x W x T)
Format:	Hardcover
Pages:	512
ISBN-13:	978-0-12-804076-8
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-12-804076-9
Barcode:	9780128040768

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