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

Artificial Intelligence (475) JMIR Theme Issue: COVID-19 Special Issue (1649) Machine Learning (802) Clinical Information and Decision Making (710) Decision Support for Health Professionals (593) Imaging Informatics (121) Theme Issue: Medical Informatics and COVID-19 (91) Outbreak and Pandemic Preparedness and Management (1245) Infectious Diseases (non-STD/STI) (1105)

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 Ghaderzadeh 1 Author Orcid Image ;   Farkhondeh Asadi 1 Author Orcid Image ;   Ramezan Jafari 2 Author Orcid Image ;   Davood Bashash 3 Author Orcid Image ;   Hassan Abolghasemi 4 Author Orcid Image ;   Mehrad Aria 5 Author Orcid Image
Article Authors Cited by (2) 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 , IR

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

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

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

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

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
  • IR
  • Phone: 98 9123187253
  • Email: Asadifar@sbmu.ac.ir