Welcome to the InfoSci Platform
Content-Based Image Retrieval for Advancing Medical Diagnostics, Treatment and Education

Content-Based Image Retrieval for Advancing Medical Diagnostics, Treatment and Education

L. Rodney Long, Sameer Antani, George R. Thoma, Thomas M. Deserno
Copyright: © 2011 |Pages: 17
ISBN13: 9781609607807|ISBN10: 1609607805|EISBN13: 9781609607814
DOI: 10.4018/978-1-60960-780-7.ch001
Cite Chapter Cite Chapter

MLA

Long, L. Rodney, et al. "Content-Based Image Retrieval for Advancing Medical Diagnostics, Treatment and Education." New Technologies for Advancing Healthcare and Clinical Practices, edited by Joseph Tan, IGI Global, 2011, pp. 1-17. https://doi.org/10.4018/978-1-60960-780-7.ch001

APA

Long, L. R., Antani, S., Thoma, G. R., & Deserno, T. M. (2011). Content-Based Image Retrieval for Advancing Medical Diagnostics, Treatment and Education. In J. Tan (Ed.), New Technologies for Advancing Healthcare and Clinical Practices (pp. 1-17). IGI Global. https://doi.org/10.4018/978-1-60960-780-7.ch001

Chicago

Long, L. Rodney, et al. "Content-Based Image Retrieval for Advancing Medical Diagnostics, Treatment and Education." In New Technologies for Advancing Healthcare and Clinical Practices, edited by Joseph Tan, 1-17. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-780-7.ch001

Export Reference

Mendeley
Favorite

Abstract

Content-Based Image Retrieval (CBIR) technology has been proposed to benefit not only the management of increasingly large medical image collections, but also to aid clinical care, biomedical research, and education. Based on a literature review, we conclude that there is widespread enthusiasm for CBIR in the engineering research community, but the application of this technology to solve practical medical problems is a goal yet to be realized. Furthermore, we highlight “gaps” between desired CBIR system functionality and what has been achieved to date, present a comparative analysis of four state-of-the-art CBIR implementations using the gap approach for illustration, and suggest that high-priority gaps to be overcome lie in CBIR interfaces and functionality that better serve the clinical and biomedical research communities.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.