Search engine for remote database-aided interpretation of digitized mammograms

Chester J. Ornes; Daniel J. Valentino; Hong-Jun Yoon; Jack I. Eisenman; Jack Sklansky

doi:10.1117/12.435467

7 August 2001 Search engine for remote database-aided interpretation of digitized mammograms

Chester J. Ornes, Daniel J. Valentino, Hong-Jun Yoon, Jack I. Eisenman, Jack Sklansky

Proceedings Volume 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation; (2001) https://doi.org/10.1117/12.435467
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

Chester J. Ornes, Daniel J. Valentino, Hong-Jun Yoon, Jack I. Eisenman, and Jack Sklansky "Search engine for remote database-aided interpretation of digitized mammograms", Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); https://doi.org/10.1117/12.435467

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