AI RESEARCH
External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
arXiv CS.CV
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ArXi:2605.05082v1 Announce Type: cross We externally validated three deep learning models (DenseNet121, ViT-B/32, and ResNet50) for predicting mammographic breast density from breast ultrasound exams on an independent cohort. The external validation set comprised 2,000 ultrasound exams, including 500 cancer cases defined by an initial negative exam (BI-RADS 1 or 2) followed by a cancer diagnosis within 6 months to 10 years, and 1,500 negative controls matched by manufacturer and study year.