LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
LightMIS segments medical images with 0.131M parameters and near Mobile U-ViT Dice while cutting compute sharply.
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LightMIS segments medical images with 0.131M parameters and near Mobile U-ViT Dice while cutting compute sharply.
A 3D nnU-Net trained on 1,351 BraTS-GoAT 2026 cases shows mean Dice dropping 0.0747 from out-of-fold to pooled validation, exposing generalization gaps.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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