DESCRIPTORS FUSION AND GENETIC PROGRAMMING FOR BREAST CANCER DETECTION.

The detection of tumors in digital images originated from mammograms can be a challenging task. In this paper we investigate a Computer Aided Diagnosis System based on a Genetic Programming classifier. The performance of the considered classifier is evaluated for five of the image descriptors used in literature and we propose a new approach, by utilizing descriptors fusion. Numerical experiments are performed on a sample of the Digital Database for Screening Mammography data set and indicate that descriptors fusion can lead to better classifying performances. [ABSTRACT FROM AUTHOR]