Medical image recognition, segmentation and parsing: machine learning and multiple object approaches

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...

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Bibliographic Details
Other Authors: Zhou, S. Kevin (Editor)
Format: Electronic eBook
Language:English
Published: Amsterdam Elsevier [2016]
Series:Elsevier and MICCAI Society book series
Subjects:
Online Access:FLA01
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Summary: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. You will learn how to: 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. --
Item Description:Includes bibliographical references and index
Physical Description:1 online resource illustrations
ISBN:9780128026762
0128026766

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