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: eBook
Language: English
Published: Amsterdam : Elsevier, [2016]
Series: Elsevier and MICCAI Society book series.
Subjects:
ISBN: 9780128026762
0128026766
9780128025819
0128025816
Physical Description: 1 online resource : illustrations

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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. --
Bibliography: Includes bibliographical references and index.
ISBN: 9780128026762
0128026766
9780128025819
0128025816
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty