Downloads · 30 days
126
5% of all-time downloads
cxrmate
aehrc/cxrmate
cxrmate is a feature extraction model from aehrc. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This is the longitudinal, multi-image Chest X-Ray (CXR) report generator trained with the CXR-BERT reward.
All-time downloads
2.6K
Public
Parameters
112M
2.7 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors450 MB · 100%
At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Jun 5, 2023
- Updated
- Feb 20, 2025
- SHA
- b470d0ee
Model card
From the Hugging Face model README
CXRMate: Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
This is the longitudinal, multi-image Chest X-Ray (CXR) report generator trained with the CXR-BERT reward.
Hugging Face Models From This Paper:
| Link | Longitudinal | Multi-image | Reinforcement learning |
|---|---|---|---|
| https://huggingface.co/aehrc/cxrmate | Y | Y | Y |
| https://huggingface.co/aehrc/cxrmate-tf | Y | Y | N |
| https://huggingface.co/aehrc/cxrmate-multi-tf | N | Y | N |
| https://huggingface.co/aehrc/cxrmate-single-tf | N | N | N |
Paper:
@article{NICOLSON2024101585,
title = {Longitudinal data and a semantic similarity reward for chest X-ray report generation},
journal = {Informatics in Medicine Unlocked},
volume = {50},
pages = {101585},
year = {2024},
issn = {2352-9148},
doi = {https://doi.org/10.1016/j.imu.2024.101585},
url = {https://www.sciencedirect.com/science/article/pii/S2352914824001424},
author = {Aaron Nicolson and Jason Dowling and Douglas Anderson and Bevan Koopman},
}
ArXiv:
GitHub Repository:
Notebook Example:
- Task
- Feature Extraction
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- apache-2.0
- Created
- Jun 5, 2023
- Updated
- Feb 20, 2025