A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.
Journal:
BMC bioinformatics
Published Date:
Mar 11, 2020
Abstract
BACKGROUND: Screening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed an automatic binary model for discriminating tissue in digital mammograms, as support tool for the radiologists. In particular, we compared the contribution of different methods on the feature selection process in terms of the learning performances and selected features.