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Proceedings Paper

Analysis of mammograms aided by database of images of calcifications and textures
Author(s): Eric Y. Tao; Jack Sklansky
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Paper Abstract

We describe a database-aided system for diagnosing mammograms with automatic selection of features (i.e., attributes of objects or textures in images). A database of digitized images of calcifications and textures assists the diagnosis and reduces the negative biopsy rate. In our system mammograms are filtered to enhance the calcifications and textures; image features are automatically extracted and stored. Genetic selection and visual mapping of features permits global visualization of the entire database or selected portions of the databases for interaction with mammographers. We demonstrate that this system is able to cluster and retrieve visually and diagnostically similar mammograms.

Paper Details

Date Published: 16 April 1996
PDF: 8 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237907
Show Author Affiliations
Eric Y. Tao, Univ. of California/Irvine (United States)
Jack Sklansky, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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