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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
ISBN13: 9781591406846|ISBN10: 1591406846|ISBN13 Softcover: 9781591406853|EISBN13: 9781591406860
DOI: 10.4018/978-1-59140-684-6.ch009
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MLA

Wei, Chia-Hung, et al. "A Content-Based Approach to Medical Image Database Retrieval." Database Modeling for Industrial Data Management: Emerging Technologies and Applications, edited by Zongmin Ma, IGI Global, 2006, pp. 258-292. https://doi.org/10.4018/978-1-59140-684-6.ch009

APA

Wei, C., Li, C., & Wilson, R. (2006). A Content-Based Approach to Medical Image Database Retrieval. In Z. Ma (Ed.), Database Modeling for Industrial Data Management: Emerging Technologies and Applications (pp. 258-292). IGI Global. https://doi.org/10.4018/978-1-59140-684-6.ch009

Chicago

Wei, Chia-Hung, Chang-Tsun Li, and Roland Wilson. "A Content-Based Approach to Medical Image Database Retrieval." In Database Modeling for Industrial Data Management: Emerging Technologies and Applications, edited by Zongmin Ma, 258-292. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-684-6.ch009

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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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