Researchers externally validated three deep learning models—DenseNet121, ViT-B/32, and ResNet50—for predicting breast density from ultrasound images. The models demonstrated strong performance, particularly in extremely dense breasts, though heterogeneously dense breasts remained a challenge. When integrated into a risk prediction model, AI-derived density showed comparable results to mammography-reported density, suggesting generalization across different demographics. AI
影响 Validates generalization of deep learning models for medical imaging tasks, though highlights areas for further optimization in density assessment.
排序理由 This is a research paper detailing the external validation of deep learning models for a specific medical imaging task.
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