Title
Content-Based Image Retrieval In Medicine: Retrospective Assessment, State Of The Art, And Future Directions
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.
Year
DOI
Venue
2009
10.4018/jhisi.2009010101
INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS
Keywords
Field
DocType
content-based image retrieval (CBIR), feature extraction, image indexing, medical image retrieval, performance, usability, Web user interface
Data mining,Information retrieval,Usability,Engineering research,Image retrieval,Feature extraction,Implementation,Medicine,Content-based image retrieval
Journal
Volume
Issue
ISSN
4
1
1555-3396
Citations 
PageRank 
References 
25
1.25
7
Authors
4
Name
Order
Citations
PageRank
L. Rodney Long153456.98
Sameer Antani21402134.03
Thomas Martin Deserno353067.07
George R. Thoma41207132.81