Abstract
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.
Citare
Fratean Ș., Dioșan L., Descriptors fusion and genetic programming for breast cancer detection, Studia Universitas Babes-Bolyai, Seria Informatica, 2015, LX(1):88-97
http://www.studia.ubbcluj.ro/arhiva/cuprins_en.php?id_editie=905&serie=INFORMATICA&nr=1&an=2015