metadata
tags:
- medical-imaging
- segmentation
- nnu-net
- airway
- ct
CaliTree weights
These are the trained weights for CaliTree, a solution to the ATM'26 (MICCAI 2026) airway tree modelling challenge.
Code: adinathdukre/CaliTree
| folder | model | use |
|---|---|---|
track1/nnUNet_ckpts |
nnU-Net ResEnc-M, nnUNetTrainerAirwayCB_clprec025, 5 folds |
Track 1 binary airway segmentation |
track2/nnUNet_ckpts |
nnU-Net ResEnc-M, nnUNetTrainerAirwayCB, 5 folds |
Track 2 stage 1 airway mask |
track2/nnUNet_t2warm |
nnU-Net 3d_fullres_SAS, nnUNetTrainerT2Warm, 5 folds |
Track 2 stage 2 21-class voxel labelling |
Each track folder is used directly as ATM_RESOURCES:
huggingface-cli download adidukre/CaliTree --local-dir /path/to/weights
ATM_RESOURCES=/path/to/weights/track1 ATM_INPUT=/path/to/ct_folder ATM_OUTPUT=/path/to/output \
python docker/T1/inference.py