Individual skill

nnunet-segmentation

Medical image segmentation with nnU-Net's self-configuring framework — auto-selects architecture, preprocessing, training for any modality. CT, MRI, microscopy, ultrasound in 2D, 3D full-res, 3D low-res, cascade. Pipeline: convert → plan/preprocess → train (5-fold CV) → best config → predict → ensemble. Use when classical segmentation fails and annotated data exists.

skills/medical-imaging/nnunet-segmentation/SKILL.md

Source commit 55c1bd3e863d11bf5a853d24bcdda10c88e6eddf

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Last checked

Nov 5, 2026

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