A Review of Computer-Aided Breast Cancer Diagnosis Using Sequential Mammograms.

ABSTRACT: Radiologists assess the results of mammography, the key screening tool for the detection of breast cancer, to determine the presence of malignancy. They, routinely, compare recent and prior mammographic views to identify changes between the screenings. In case a new lesion appears in a mammogram, or a region is changing rapidly, it is more likely to be suspicious, compared to a lesion that remains unchanged and it is usually benign. However, visual evaluation of mammograms is challenging even for expert radiologists. For this reason, various Computer-Aided Diagnosis (CAD) algorithms are being developed to assist in the diagnosis of abnormal breast findings using mammograms. Most of the current CAD systems do so using only the most recent mammogram. This paper provides a review of the devel

SUBMITTER: Loizidou K 

PROVIDER: S-EPMC9785714 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature