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Proceedings Paper

Search engine for remote database-aided interpretation of digitized mammograms
Author(s): Chester J. Ornes; Daniel J. Valentino; Hong-Jun Yoon; Jack I. Eisenman; Jack Sklansky
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Paper Abstract

We describe a query-by-content search engine that enables a radiologist to search a large database of diagnostically- proven (`benign' or `malignant') mammographic region of interest (ROIs). The database search is facilitated by a relational map which is a 2D display of all the ROIs in the database. Labeled points on the map represent ROIs in the database. The map is constructed from the output of a neural network that has been trained to cluster the ROIs in the database using a measure of perceptual similarity.

Paper Details

Date Published: 7 August 2001
PDF: 6 pages
Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); doi: 10.1117/12.435467
Show Author Affiliations
Chester J. Ornes, Charles R. Drew Univ. of Medicine and Science (United States)
Daniel J. Valentino, Univ. of California/Los Angeles (United States)
Hong-Jun Yoon, Univ. of California/Irvine (United States)
Jack I. Eisenman, Charles R. Drew Univ. of Medicine and Science (United States)
Jack Sklansky, Charles R. Drew Univ. of Medicine and Science and Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 4323:
Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation
Eliot L. Siegel; H. K. Huang, Editor(s)

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