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Proceedings Paper

Automatic shape analysis and classification of mammographic calcifications
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Paper Abstract

The morphology and distribution of mammographic calcifications and the way these elements vary within a cluster are valuable in distinguishing between benign and malignant calcifications. The specific aims of this study were (a) the development of an automatic tool that differentiates between benign and malignant clustered calcifications based on their morphological properties and (b) the determination of the effects of image spatial resolution on the classification process. The long term aim of the project is to use this tool to categorize detected clusters into the various types described in the breast imaging reporting and data systems of the American College of Radiology and assist the radiologists in their diagnosis.

Paper Details

Date Published: 25 April 1997
PDF: 8 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274175
Show Author Affiliations
Marios A. Gavrielides, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Maria Kallergi, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Laurence P. Clarke, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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