| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # AbdCTBench: Data + Code + Checkpoints |
|
|
| AbdCTBench is a public benchmark for comorbidity prediction from abdominal CT scans. |
| This repository contains: |
|
|
| - `AbdCTBench_dataset/`: split CSVs + image data archive + 3D stl meshes |
| - `code/`: training and evaluation pipeline |
| - `models/`: released pretrained checkpoints (`.safetensors`) with configs |
| - `code/dicom_stl_png_pipeline/`: DICOM -> STL -> PNG conversion scripts |
|
|
| ## Quick Start |
|
|
| From `code/`: |
|
|
| ```bash |
| pip install -r requirements.txt |
| ``` |
|
|
| Use dataset in this same repo: |
|
|
| ```bash |
| cd code |
| python test.py \ |
| --data_dir ../AbdCTBench_dataset \ |
| --checkpoint_path ../models/mi_only/ResNet-18_lr1e-05_bs16/best_checkpoint.safetensors \ |
| --biomarker_config ../models/mi_only/ResNet-18_lr1e-05_bs16/biomarker_config.json \ |
| --output_dir ./test_results |
| ``` |
|
|
| ## Training |
|
|
| ```bash |
| cd code |
| python train.py \ |
| --model "ResNet-18" \ |
| --data_dir ../AbdCTBench_dataset \ |
| --biomarker_config ./config/biomarker_config_multitask_example.yaml \ |
| --output_dir ./outputs |
| ``` |
|
|
| Reproducibility controls: |
|
|
| - `--seed` (default `42`) |
| - `--deterministic` (slower but more deterministic backend behavior) |
|
|
| ## Checkpoint Format |
|
|
| Each released model folder under `models/` contains: |
|
|
| - `best_checkpoint.safetensors` |
| - `config.json` |
| - `biomarker_config.json` |
|
|
| `test.py` supports both `.safetensors` and `.pth` checkpoints. |
|
|
| ## Expected Data Layout |
|
|
| `--data_dir` should contain: |
|
|
| - `train.csv`, `val.csv`, `test.csv` |
| - `data/` with PNG files named by `FILE` column values |
|
|
| ## Citation |
|
|
| If you use AbdCTBench, please cite: |
|
|
| ```bibtex |
| @inproceedings{ |
| chaudhry2026abdctbench, |
| title={Abd{CTB}ench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry}, |
| author={Muhammad Ahmed Chaudhry and Suhana Bedi and Pola Lydia Lagari and Brian T Layden and William Galanter and Ayis Pyrros and Sanmi Koyejo}, |
| booktitle={The Fourteenth International Conference on Learning Representations}, |
| year={2026}, |
| url={https://openreview.net/forum?id=dKRAo0a9Gm} |
| } |
| ``` |
|
|
| --- |
|
|
| For detailed internals and full argument descriptions, see `code/README.md`. |