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Histopathological Image Analysis in Medical Decision Making

Histopathological Image Analysis in Medical Decision Making

Copyright: © 2019 |Pages: 340
ISBN13: 9781522563167|ISBN10: 1522563164|EISBN13: 9781522563174
DOI: 10.4018/978-1-5225-6316-7
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MLA

Dey, Nilanjan, et al., editors. Histopathological Image Analysis in Medical Decision Making. IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6316-7

APA

Dey, N., Ashour, A. S., Kalia, H., Goswami, R., & Das, H. (Eds.). (2019). Histopathological Image Analysis in Medical Decision Making. IGI Global. https://doi.org/10.4018/978-1-5225-6316-7

Chicago

Dey, Nilanjan, et al., eds. Histopathological Image Analysis in Medical Decision Making. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6316-7

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Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases.

Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series
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Preface
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Acknowledgment
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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