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

Immunoinformatics and Pathology informatics (13) JMIR Theme Issue: COVID-19 Special Issue (2461) Early Results from COVID-19 Studies (309) Machine Learning (1501) Artificial Intelligence (1421) Imaging Informatics (200) Clinical Informatics (1050)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36660, first published .
Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Authors of this article:

Zhongqiang Li1 Author Orcid Image ;   Zheng Li1 Author Orcid Image ;   Luke Yao1 Author Orcid Image ;   Qing Chen2 Author Orcid Image ;   Jian Zhang2 Author Orcid Image ;   Xin Li3 Author Orcid Image ;   Ji-Ming Feng4 Author Orcid Image ;   Yanping Li5 Author Orcid Image ;   Jian Xu1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Lins I, Maior C, Raupp L, Moura M, Moura M, Rodrigues M, Jornada T. Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital. Biomedical Signal Processing and Control 2024;97:106687 View