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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Fabio A. Gonzalez, Eduardo Romero
Copyright: © 2010 |Pages: 390
ISBN13: 9781605669564|ISBN10: 1605669563|EISBN13: 9781605669571|ISBN13 Softcover: 9781616922177
DOI: 10.4018/978-1-60566-956-4
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MLA

Gonzalez, Fabio A., and Eduardo Romero, editors. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. IGI Global, 2010. https://doi.org/10.4018/978-1-60566-956-4

APA

Gonzalez, F. A. & Romero, E. (Eds.). (2010). Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. IGI Global. https://doi.org/10.4018/978-1-60566-956-4

Chicago

Gonzalez, Fabio A., and Eduardo Romero, eds. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-956-4

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Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis.

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

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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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
Introduction  (pages 20-20)
Introduction
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Chapter 2
Feature Extraction  (pages 26-26)
Feature Extraction
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Chapter 3
Machine Learning Based Segmentation
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Biomedical Image Understanding and Interpretation
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Chapter 5
Complex Motion Analysis  (pages 282-282)
Complex Motion Analysis
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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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