Houda El Mohamadi, Mohammed El Hassouni. Enhanced Deep Learning Explainability for COVID-19 Diagnosis from Chest X-ray Images by Fusing Texture and Shape Features. In Khalil Ibrahimi, Mohamed El-Kamili, Abdellatif Kobbane, Ibraheem Shayea, editors, 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023, Istanbul, Turkey, October 26-28, 2023. pages 1-6, IEEE, 2023. [doi]
@inproceedings{MohamadiH23,
title = {Enhanced Deep Learning Explainability for COVID-19 Diagnosis from Chest X-ray Images by Fusing Texture and Shape Features},
author = {Houda El Mohamadi and Mohammed El Hassouni},
year = {2023},
doi = {10.1109/WINCOM59760.2023.10322952},
url = {https://doi.org/10.1109/WINCOM59760.2023.10322952},
researchr = {https://researchr.org/publication/MohamadiH23},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023, Istanbul, Turkey, October 26-28, 2023},
editor = {Khalil Ibrahimi and Mohamed El-Kamili and Abdellatif Kobbane and Ibraheem Shayea},
publisher = {IEEE},
isbn = {979-8-3503-2967-4},
}