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abd-attunet-medotter
Angelou0516/abd-attunet-medotter
abd-attunet-medotter is a machine learning model from Angelou0516. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
2D AttUNet for 11-organ abdominal CT segmentation, trained on AMOS22 (canonical labels). Self-contained: predictor.py (AttUNet inlined) pulls weights.pth at load. Input: single-channel CT (1,i,j,k). Output {0=bg,1=liv…
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Updated Jul 1, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- c91224b2
Model card
From the Hugging Face model README
MedOtter Abdominal Multi-Organ CT — Attention U-Net
2D AttU_Net for 11-organ abdominal CT segmentation, trained on AMOS22 (canonical labels).
Self-contained: predictor.py (AttU_Net inlined) pulls weights.pth at load. Input: single-channel CT (1,i,j,k). Output {0=bg,1=liver,...,11=adrenal} on native grid. Per-slice: HU window [-160,240]->[0,1], resize 256, replicate 3ch, argmax.
- License
- mit
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026