Compares breast density assessment models using deep learning on different mammogram formats, suggesting the need for natural adaptation during transition.
We highlight that various DL architectures perform effectively in breast density classification, emphasizing the significance of mammogram format and view, though results may vary with different vendors. These insights are crucial for enhancing DL-based breast density assessment, especially during the shift from DM to DBT.
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Anant et al. (2026) studied this question.
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