Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images
Authors
Ahmad Shalbaf
Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Parisa Gifani
Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Ghazal Mehri-Kakavand
Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran
Mohamad Pursamimi
Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran
Mahdi Ghorbani
Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Amirhossein Abbaskhani Davanloo
Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Majid Vafaeezadeh
School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Language: English
Page range: 117 - 126
Submitted on: Mar 23, 2022
Accepted on: Jul 4, 2022
Published on: Jul 28, 2022
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2022 Ahmad Shalbaf, Parisa Gifani, Ghazal Mehri-Kakavand, Mohamad Pursamimi, Mahdi Ghorbani, Amirhossein Abbaskhani Davanloo, Majid Vafaeezadeh, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.