https://github.com/eidoslab/covid-two-step
Source code for the paper "A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images." | ICIAP 2022
https://github.com/eidoslab/covid-two-step
Last synced: 7 months ago
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Source code for the paper "A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images." | ICIAP 2022
- Host: GitHub
- URL: https://github.com/eidoslab/covid-two-step
- Owner: EIDOSLAB
- Created: 2022-03-11T10:21:22.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2024-05-13T15:45:09.000Z (over 1 year ago)
- Last Synced: 2024-05-13T17:08:04.501Z (over 1 year ago)
- Language: Python
- Homepage: https://arxiv.org/abs/2101.10223
- Size: 3.91 KB
- Stars: 0
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### Source code
Refer to https://github.com/corsa-project/lung-patterns-analysis
### Pretrained weights
DenseNet-121 [[model](model.py)] [[weights](https://datacloud.di.unito.it/index.php/s/c2iLRTreNPNkjwb)]
### Citing
```bibtex
@inproceedings{barbano2022two,
title={A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images},
author={Barbano, Carlo Alberto and Tartaglione, Enzo and Berzovini, Claudio and Calandri, Marco and Grangetto, Marco},
booktitle={International Conference on Image Analysis and Processing},
pages={173--184},
year={2022},
organization={Springer}
}
```