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Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images Cover

Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images

Open Access
|Jul 2022

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

mhdghorbani@gmail.com

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
DOI: https://doi.org/10.2478/pjmpe-2022-0014 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 117 - 126
Submitted on: Mar 23, 2022
|
Accepted on: Jul 4, 2022
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Published on: Jul 28, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 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.