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A Content-Based Approach to Medical Image Database Retrieval

A Content-Based Approach to Medical Image Database Retrieval

Chia-Hung Wei, Chang-Tsun Li, Roland Wilson
Copyright: © 2008 |Pages: 22
ISBN13: 9781599047775|ISBN10: 1599047772|ISBN13 Softcover: 9781616927127|EISBN13: 9781599047799
DOI: 10.4018/978-1-59904-777-5.ch014
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MLA

Wei, Chia-Hung, et al. "A Content-Based Approach to Medical Image Database Retrieval." User Centered Design for Medical Visualization, edited by Feng Dong, et al., IGI Global, 2008, pp. 281-302. https://doi.org/10.4018/978-1-59904-777-5.ch014

APA

Wei, C., Li, C., & Wilson, R. (2008). A Content-Based Approach to Medical Image Database Retrieval. In F. Dong, G. Ghinea , & S. Chen (Eds.), User Centered Design for Medical Visualization (pp. 281-302). IGI Global. https://doi.org/10.4018/978-1-59904-777-5.ch014

Chicago

Wei, Chia-Hung, Chang-Tsun Li, and Roland Wilson. "A Content-Based Approach to Medical Image Database Retrieval." In User Centered Design for Medical Visualization, edited by Feng Dong, Gheorghita Ghinea , and Sherry Y. Chen, 281-302. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-777-5.ch014

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Abstract

Content-based image retrieval (CBIR) makes use of image features, such as color and texture, to index images with minimal human intervention. Content-based image retrieval can be used to locate medical images in large databases. This chapter introduces a content-based approach to medical image retrieval. Fundamentals of the key components of content-based image retrieval systems are introduced first to give an overview of this area. A case study, which describes the methodology of a CBIR system for retrieving digital mammogram database, is then presented. This chapter is intended to disseminate the knowledge of the CBIR approach to the applications of medical image management and to attract greater interest from various research communities to rapidly advance research in this field.

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