3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Unsupervised Domain Adaptation for Calcification Classification in Mammography Across Multi-Site Datasets
Xuan Liu, Derek L. Nguyen, Emily C. Barre +7
Deep learning-based computer-aided diagnosis (CAD) systems have shown strong performance in breast cancer diagnosis, particularly for classification tasks in mammography. However,…
cs.CV2017★ 3 cited
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Zhe Zhu, Michael Harowicz, Jun Zhang +4
Purpose: To determine whether deep learning-based algorithms applied to breast MR images can aid in the prediction of occult invasive disease following the di- agnosis of ductal ca…