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21 May 1999 Iterative method for automatic detection of masses in digital mammograms for computer-aided diagnosis
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Victor Gimenez Martinez, Daniel Manrique Gamo, Juan Rios, and Amparo Vilarrasa "Iterative method for automatic detection of masses in digital mammograms for computer-aided diagnosis", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348503
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