Analysis of mammograms aided by database of images of calcifications and textures

Eric Y. Tao; Jack Sklansky

doi:10.1117/12.237907

16 April 1996 Analysis of mammograms aided by database of images of calcifications and textures

Eric Y. Tao, Jack Sklansky

Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237907
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Eric Y. Tao and Jack Sklansky "Analysis of mammograms aided by database of images of calcifications and textures", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237907

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