license: cc-by-nc-sa-4.0
datasets:
- ibrahimhamamci/CT-RATE
tags:
- chest-ct
- radiology
- 3d-medical-imaging
- medical
- ct-rate
- radiology-report-generation
- computer-vision
[ISBI 2025] CT-AGRG: Automated Abnormality-Guided Report Generation for CT Scans 👨🏻⚕️📝
✅ PyTorch pretrained model weights of "CT-AGRG: Automated Abnormality-Guided Report Generation for CT Scans".
📄 Accepted at ISBI 2025: arXiv preprint.
🔥 PyTorch implementation available at https://github.com/theodpzz/ct-agrg.
🚀 Available resources
./model_state_dict.pt: Model weights for CT-AGRG trained on the CT-RATE training set.
./thresholds.json: Per-abnormality classification thresholds optimized on our internal CT-RATE validation set. The official CT-RATE test set was not used during threshold optimization to preserve unbiased evaluation.
🤝🏻 Acknowledgment
We thank contributors from the CT-RATE dataset available at https://huggingface.co/datasets/ibrahimhamamci/CT-RATE.
Purpose
The model, trained on a publicly available dataset, is provided for academic and research purposes only, to support reproducibility of the results described in the associated paper. This repository is a research prototype, and is not intended for clinical use.
📎Citation
If you use this repository in your work, we would appreciate the following citation:
@InProceedings{dipiazza_2025_ctagrg,
title = {CT-AGRG: Automated Abnormality-Guided Report Generation for CT Scans},
author = {Di Piazza, Theo and Lazarus, Carole and Nempont, Olivier and Boussel, Loic},
booktitle = {2025 {IEEE} 22nd {International} {Symposium} on {Biomedical} {Imaging} ({ISBI})},
year = {2025},
}