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Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Kenji Suzuki
Copyright: © 2012 |Pages: 524
ISBN13: 9781466600591|ISBN10: 1466600594|EISBN13: 9781466600607
DOI: 10.4018/978-1-4666-0059-1
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MLA

Suzuki, Kenji, editor. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0059-1

APA

Suzuki, K. (Ed.). (2012). Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis. IGI Global. https://doi.org/10.4018/978-1-4666-0059-1

Chicago

Suzuki, Kenji, ed. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0059-1

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Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval.

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Dedication
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
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Chapter 1
Section 1  (pages 24-24)
Section 1
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Chapter 2
Section 2  (pages 121-121)
Section 2
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Chapter 3
Section 3  (pages 177-177)
Section 3
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Chapter 4
Section 4  (pages 257-257)
Section 4
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Chapter 5
Section 5  (pages 373-373)
Section 5
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Back Materials
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Compilation of References
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About the Contributors
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Index
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