\ edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
;San Diego
Name of Publisher, Distributor, etc.
: Elsevier/Academic Press
Date of Publication, Distribution, etc.
, 2017
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xxiii, 433 p.
Other Physical Details
:ill.
Dimensions
;24 cm.
SERIES
Series Title
Elsevier and MICCAI Society book series
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Index
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Bibliography
CONTENTS NOTE
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Introduction -- Medical Image Detection and recognition -- Medical image segmentation -- Medical image registration -- Computer-aided diagnosis and disease quantification -- Others.
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SUMMARY OR ABSTRACT
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"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis"--