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Proceedings Paper

Acquisition and validation of image-retrieval knowledge
Author(s): Olivia R. Liu Sheng; Paul Jen-Hwa Hu; Chih-Ping Wei; Theron W. Ovitt; Soichi Akata
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Paper Abstract

Automating image prefetching to meet reference requirements for primary reading an area having significant potential for improving the radiology service level and one to which attention has been long-due. IRES, a knowledge-based approach to image retrieval, has a natural appeal to radiologists over ad hoc rules of thumb because its embedded image retrieval knowledge is in concert with the image reference patterns and heuristics most of them use. This paper discusses the knowledge acquisition process and validation framework, presents some interesting validation results, and outlines future research directions.

Paper Details

Date Published: 15 May 1994
PDF: 12 pages
Proc. SPIE 2165, Medical Imaging 1994: PACS: Design and Evaluation, (15 May 1994); doi: 10.1117/12.174363
Show Author Affiliations
Olivia R. Liu Sheng, Univ. of Arizona (United States)
Paul Jen-Hwa Hu, Univ. of Arizona (United States)
Chih-Ping Wei, Univ. of Arizona (United States)
Theron W. Ovitt, Univ. of Arizona (United States)
Soichi Akata, Tokyo Medical College (Japan)


Published in SPIE Proceedings Vol. 2165:
Medical Imaging 1994: PACS: Design and Evaluation
R. Gilbert Jost, Editor(s)

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