Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography.
Woo Kyung MoonBoo Kyung HanEun Sook KoJung Min BaeEun Young KoSo Hee SongMi-Ri KwonJung Hee ShinSoo Yeon HahnPublished in: Korean journal of radiology (2020)
Deep learning-based CAD could improve radiologists' diagnostic performance by increasing their specificity, accuracy, and PPV in differentiating between malignant and benign masses on breast US.