@article{c042d8551bdc4c39a76dfd5b2b6c781f,
title = "Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics",
keywords = "COVID-19, CT images, Diagnosis, Machine learning, Pneumonia, Prediction, Radiomics",
author = "{Moradi Khaniabadi}, Pegah and Yassine Bouchareb and Humoud Al-Dhuhli and Isaac Shiri and Faiza Al-Kindi and {Moradi Khaniabadi}, Bita and Habib Zaidi and Arman Rahmim",
note = "Funding Information: This work was supported by the Omani Research Council, Oman Grant, grant number RC/COVID-MED/RADI/20/01 .",
year = "2022",
month = nov,
doi = "10.1016/j.compbiomed.2022.106165",
language = "English",
volume = "150",
journal = "Computers in Biology and Medicine",
issn = "0010-4825",
publisher = "Elsevier Limited",
}