Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions

doi:10.4018/jhisi.2009010101

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Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions

L. Rodney Long, Sameer Antani, Thomas M. Deserno, George R. Thoma

Source Title: International Journal of Healthcare Information Systems and Informatics (IJHISI)4(1)

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MLA

Long, L. Rodney, et al. "Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions." IJHISI vol.4, no.1 2009: pp.1-16. http://doi.org/10.4018/jhisi.2009010101

APA

Long, L. R., Antani, S., Deserno, T. M., & Thoma, G. R. (2009). Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions. International Journal of Healthcare Information Systems and Informatics (IJHISI), 4(1), 1-16. http://doi.org/10.4018/jhisi.2009010101

Chicago

Long, L. Rodney, et al. "Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions," International Journal of Healthcare Information Systems and Informatics (IJHISI) 4, no.1: 1-16. http://doi.org/10.4018/jhisi.2009010101

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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.

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Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions

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