IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Content-Based Approach to Medical Image Database Retrieval

A Content-Based Approach to Medical Image Database Retrieval
View Sample PDF
Author(s): Chia-Hung Wei (University of Warwick, UK), Chang-Tsun Li (University of Warwick, UK) and Roland Wilson (University of Warwick, UK)
Copyright: 2009
Pages: 22
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch062

Purchase

View A Content-Based Approach to Medical Image Database Retrieval on the publisher's website for pricing and purchasing information.

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.

Related Content

. © 2019. 19 pages.
. © 2019. 44 pages.
. © 2019. 23 pages.
. © 2019. 18 pages.
. © 2019. 11 pages.
. © 2019. 18 pages.
. © 2019. 31 pages.
Body Bottom