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Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Wahiba Ben Abdessalem Karâa, Nilanjan Dey
Copyright: © 2016 |Pages: 414
ISBN13: 9781466688117|ISBN10: 1466688114|EISBN13: 9781466688124
DOI: 10.4018/978-1-4666-8811-7
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MLA

Karâa, Wahiba Ben Abdessalem, and Nilanjan Dey, editors. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes. IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8811-7

APA

Karâa, W. B. & Dey, N. (Eds.). (2016). Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes. IGI Global. https://doi.org/10.4018/978-1-4666-8811-7

Chicago

Karâa, Wahiba Ben Abdessalem, and Nilanjan Dey, eds. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8811-7

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Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers.

An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

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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Advances in Bioinformatics and Biomedical Engineering (ABBE) Book Series
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Editorial Advisory Board and List of Reviewers
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Preface
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Acknowledgment
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Chapters
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Chapter 1
This section deals with some fundamental concepts biomedical image mining. The purpose is to put the biomedical image mining domain in its context.
Introduction to Biomedical Image Mining
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Chapter 2
Biomedical image processing is an essential step to improve the content of a medical image. By removing noise, extracting the efficient features, performing automatic segmentation, normalization, etc., more useful information can be...
Biomedical Image Processing
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Chapter 3
This section outlines image retrieval based on a variety of approaches—fuzzy approach, neural network approach, multimodal indexing approach—for efficient retrieval of relevant images.
Information Retrieval in Biomedical Images
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Chapter 4
This section discusses the fundamental steps for prediction and detection of abnormalities or relations and interactions between concepts. This can be useful for simulation and patient treatment.
Prediction and Simulation in Biomedical Image Mining
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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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