Fine-tuned ConvNeXt achieves 0.73 accuracy and 0.78 F1, beating BioMedCLIP linear probe (0.64/0.63) and zero-shot (0.47/0.31) for BI-RADS breast density classification.
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Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Fine-tuned ConvNeXt achieves 0.73 accuracy and 0.78 F1, beating BioMedCLIP linear probe (0.64/0.63) and zero-shot (0.47/0.31) for BI-RADS breast density classification.