Staff Bibliography |
Back to previous Print this E-mail this |
Document Citation |
Title:
Content-Based Image Retrieval In Medicine: Retrospective Assessment, State of the Art, and Future Directions.
Author(s):
Long LR, Antani S, Deserno TM, Thoma GR.
Institution(s):
1) National Library of Medicine
2)
Department of Medical Informatics, RWTH Aachen University, Germany
Source:
International Journal of Healthcare Information Systems and Informatics. January 2009;4(1):1-17.
Abstract:
Content-based image retrieval (CBIR) technology has been proposed to benefit not only the management
of increasingly large 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 for illustration a comparative analysis of four state-of-the-art CBIR
implementations using the gap approach, and suggest that high-priority gaps to be overcome lie in CBIR
interfaces and functionality that better serve the clinical and biomedical research communities.
Publication Type: JOURNAL
More about this article:
Full Text (PDF)