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Autor: S. Kevin Zhou
ISBN-13: 9780128026762
Einband: EPUB
Seiten: 542
Sprache: Englisch
eBook Typ: Adobe Digital Editions
eBook Format: EPUB
Kopierschutz: Adobe DRM [Hard-DRM]
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Medical Image Recognition, Segmentation and Parsing

Machine Learning and Multiple Object Approaches
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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 objectsMethods and theories for medical image recognition, segmentation and parsing of multiple objectsEfficient and effective machine learning solutions based on big datasetsSelected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objectsPresents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasetsIncludes algorithms for recognizing and parsing of known anatomies for practical applications
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 objectsMethods and theories for medical image recognition, segmentation and parsing of multiple objectsEfficient and effective machine learning solutions based on big datasetsSelected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objectsPresents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasetsIncludes algorithms for recognizing and parsing of known anatomies for practical applications

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Autor: S. Kevin Zhou
ISBN-13 :: 9780128026762
ISBN: 0128026766
Verlag: Elsevier Science
Seiten: 542
Sprache: Englisch
Sonstiges: Ebook, Maximale Downloadanzahl: 3