MST wraps DINOv2 slice features in a transformer aggregator; it beats a 3D ResNet in AUC on breast and knee MRI, shows a non-significant trend on chest CT, and produces more accurate attention-based localization.
Explainable Deep Learning Models in Medical Image Analysis
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Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
MST wraps DINOv2 slice features in a transformer aggregator; it beats a 3D ResNet in AUC on breast and knee MRI, shows a non-significant trend on chest CT, and produces more accurate attention-based localization.