This paper is in the following e-collection/theme issue:

Artificial Intelligence (1194) JMIR Theme Issue: COVID-19 Special Issue (2390) Machine Learning (1383) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1136) Imaging Informatics (187) Theme Issue: Medical Informatics and COVID-19 (103) Outbreak and Pandemic Preparedness and Management (1674) Infectious Diseases (non-STD/STI) (1484)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27468, first published .
Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study

Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study

Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study

Authors of this article:

Mustafa Ghaderzadeh1 Author Orcid Image ;   Farkhondeh Asadi1 Author Orcid Image ;   Ramezan Jafari2 Author Orcid Image ;   Davood Bashash3 Author Orcid Image ;   Hassan Abolghasemi4 Author Orcid Image ;   Mehrad Aria5 Author Orcid Image
Article Authors Cited by (64) Tweetations (3) Metrics

Mustafa Ghaderzadeh   1 , PhD ;   Farkhondeh Asadi   1 , PhD ;   Ramezan Jafari   2 , MD ;   Davood Bashash   3 , PhD ;   Hassan Abolghasemi   4 , MD ;   Mehrad Aria   5 , PhD

1 Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2 Department of Radiology, Baqiyatallah University of Medical Sciences, Tehran, Iran

3 Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4 Pediatric Congenital Hematologic Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

5 Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

Corresponding Author:

  • Farkhondeh Asadi, PhD
  • Department of Health Information Technology and Management
  • School of Allied Medical Sciences
  • Shahid Beheshti University of Medical Sciences
  • Darband St
  • Ghods Square
  • Tehran
  • Iran
  • Phone: 98 9123187253
  • Email: Asadifar@sbmu.ac.ir