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NeuroMesh: A Bottleneck Topology Controller for Missing-Modality Brain Tumor Segmentation — A Mechanistic Pilot Study on BraTS

2026-08-27

Abstract excerpt

Deep segmentation networks can degrade sharply when an expected MRI sequence is unavailable at inference. We present NeuroMesh, a bottleneck controller that combines a gated recurrent unit (GRU) with a graph-convolutional edge-activation mask, designed to adapt a U-Net-style segmentation backbone to missing input. We evaluate NeuroMesh in a pilot study using a 30-patient subset of the BraTS 2020 benchmark (22 trai...

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Literature Corpus work: cce6f54b-f970-5e8d-9a0e-0e6cbbffb5c2
DOI: 10.64898/2026.08.23.746542

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