Medical Image Recognition, Segmentation and Parsing - Machine Learning and Multiple Object Approaches (Hardcover)

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	The MICCAI Society book Series
Release date:	December 2015
First published:	2016
Authors:	S. Kevin Zhou
Dimensions:	235 x 191 x 32mm (L x W x T)
Format:	Hardcover
Pages:	542
ISBN-13:	978-0-12-802581-9
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:	0-12-802581-6
Barcode:	9780128025819

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