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

Artificial Intelligence (1371) JMIR Theme Issue: COVID-19 Special Issue (2452) Machine Learning (1465) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Imaging Informatics (193) Theme Issue: Medical Informatics and COVID-19 (107) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575)

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 (66) Tweetations (3) Metrics

Journals

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  21. Hosseini A, Eshraghi M, Taami T, Sadeghsalehi H, Hoseinzadeh Z, Ghaderzadeh M, Rafiee M. A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation study. Informatics in Medicine Unlocked 2023;39:101244 View
  22. Lee M, Shomanov A, Kudaibergenova M, Viderman D. Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review. Journal of Clinical Medicine 2023;12(10):3446 View
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Books/Policy Documents

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