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Xu, G · 2026 · arXiv (Cornell University) · DOI 10.48550/arxiv.2601.08078 · arXiv 2601.08078

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cs.CV 1

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2026 1

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LUMOS: Latent Universal Medical Priors for Segmentation

cs.CV · 2026-03-01 · reject · novelty 4.0

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.

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  • LUMOS: Latent Universal Medical Priors for Segmentation cs.CV · 2026-03-01 · reject · none · ref 25

    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.