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Proceedings Paper

Iterative method for automatic detection of masses in digital mammograms for computer-aided diagnosis
Author(s): Victor Gimenez Martinez; Daniel Manrique Gamo; Juan Rios; Amparo Vilarrasa
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Paper Abstract

An iterative algorithm has been developed for automatic detection of breast masses from digitalized mammograms. The procedure has been divided in two stages. The first one based on the histogram analysis of the input image. The second one employs a topological analysis from the results obtained in the first stage. The final output is a set of interest regions that are defined as suspicious areas by the system. These suspicious regions should be harder studied in order to present a final diagnosis. The developed system may be used together with any other suspicious area diagnosis algorithms. In this way a computer assisted diagnosis (CAD) program to assist radiologists in his mammography interpretation task could be easy developed.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348503
Show Author Affiliations
Victor Gimenez Martinez, Univ. Politecnica de Madrid (Spain)
Daniel Manrique Gamo, Univ. Politecnica de Madrid (Spain)
Juan Rios, Univ. Politecnica de Madrid (Spain)
Amparo Vilarrasa, Hospital Universitario (Spain)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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