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Preprint Oct 2026

BaT-SAM: Introducing Inductive Bias into SAM via a Mixture of Convolutional Experts for Brain Tumor Segmentation

BaT-SAM is presented, a parameter-efficient adaptation framework that enables fully automatic brain tumor segmentation with the Segment Anything Model (SAM) and introduces a lightweight self-prompting box regressor that is jointly optimized with the adapter using scheduled sampling and predicts tumor locations directly...

S. Jannat, Mdt Hasan, Md Shamimul Islam et al. · 0 citations

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