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