A Likelihood Ratio Classifier for Computer-Aided Diagnosis in Mammography
Anna O. Bilska‐Wolak, Carey E. Floyd, Jr. . · 2004
Although screening x-ray mammography has become a very sensitive method for detecting breast cancer, mammography has low specificity in its diagnostic stage. About 67-85% of breast biopsies are performed on benign lesions. Because of cost and detrimental effects of unnecessary biopsies, the number of biopsies performed on benign lesions needs to be reduced. In this research we are developing a highly sensitive and specific computer-aided diagnosis classifier based on the likelihood ratio, which is designed to aid physicians to identify lesions that should not be sent to biopsy.