Abstract
ABSTRACT An iterative algorithm has been developed for automatic detection of breast masses from digitalized mammograms. Theprocedure has been divided in two stages. The first one based on the histogram analysis of the input image. The second oneemploys a topological analysis from the results obtained in the first stage. The final output is a set of interest regions that aredefined as suspicious areas by the system. These suspicious regions should be harder studied in order to present a finaldiagnosis'. The developed system may be used together with any other suspicious area diagnosis algorithms. In this way acomputer assisted diagnosis (CAD) program to assist radiologists in his mammography interpretation task could be easydeveloped.Keywords: Masses, Signal Analysis, Digitalized Mammograms, Computer-Aided Diagnosis, Breast Abnormality. 1. INTRODUCTION Breast cancer is one of the most common malignancies of women, causing an estimated 44,500 deaths in the United Statesduring 199 1 .
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