Author

Giorgi Nikvashvili

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#machine learning Preprint Sep 2026

LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net

LightMedSeg-ISLES, a 1.26-million-parameter pipeline for T1-weighted stroke lesion segmentation in ISLES, is presented, establishing a strong single-checkpoint alternative to much larger models.

Giorgi Nikvashvili, Han Gu, Jie Bao et al. · 0 citations