Explore the CT-xCOV project's official repository, housing the meticulously crafted dataset, classification/segmentation code, and XAI tools. Pioneering trust in AI healthcare, it empowers research and fosters understanding of data and methodologies.
CTx-Cov is accessible on Google Drive.
The segmentation dataset is located in the 'segmentation' folder. Images are stored in .npy files, each paired with its corresponding mask.
The classification folder includes datasets for classification in .npy format, along with corresponding labels for each CT scan.
Please cite CTx-Cov if you use the CTx-Cov dataset or this repository
@INPROCEEDINGS{10322985,
author={Elbouknify, Ismail and Bouhoute, Afaf and Fardousse, Khalid and Berrada, Ismail and Badri, Abdelmajid},
booktitle={2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)},
title={CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis},
year={2023},
volume={},
number={},
pages={1-8},
doi={10.1109/WINCOM59760.2023.10322985}}