RobustMedSAM fuses MedSAM's image encoder with RobustSAM's mask decoder and fine-tunes only the decoder on 35 medical datasets with corruptions to raise degraded-image Dice from 0.613 to 0.719.
Medsegbench: A comprehensive benchmark for medical image segmentation in diverse data modalities.Scientific Data, 11(1):1283, 2024
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RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation
RobustMedSAM fuses MedSAM's image encoder with RobustSAM's mask decoder and fine-tunes only the decoder on 35 medical datasets with corruptions to raise degraded-image Dice from 0.613 to 0.719.