A frozen vision model is used to build a ground-truth-trained guide mask that gates medical segmentation networks, but reported gains are inconsistent across datasets and the abstract and body describe different methods.
In: Medical Image Computing and Computer Assisted In- tervention – MICCAI 2025
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LUMOS: Latent Universal Medical Priors for Segmentation
A frozen vision model is used to build a ground-truth-trained guide mask that gates medical segmentation networks, but reported gains are inconsistent across datasets and the abstract and body describe different methods.