Predicting breast cancer risk intervals: Can deep learning models of mammography make an impact?
A new mammography study suggests that deep learning models may facilitate predictive risk scoring of interval breast cancer in women of different ages and breast density classifications. For recently published retrospective studies, RadiologyResearchers evaluated the use of the deep learning model Mirai in predictive risk scoring for interval breast cancer in 134,217 women (mean age […]
Continue Reading
