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. 2022 Oct 4;3(1):e36660. doi: 10.2196/36660

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©Zhongqiang Li, Zheng Li, Luke Yao, Qing Chen, Jian Zhang, Xin Li, Ji-Ming Feng, Yanping Li, Jian Xu. Originally published in JMIR Bioinformatics and Biotechnology (https://bioinform.jmir.org), 04.10.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Bioinformatics and Biotechnology, is properly cited. The complete bibliographic information, a link to the original publication on https://bioinform.jmir.org/, as well as this copyright and license information must be included.

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Contributions of the left-lung regions (L–Lung) and right-lung regions (R–Lung) to classifying COVID-19 chest X-ray radiographs (CXR) using multiple-input convolutional neural networks. (a) Whole-image CXR data sets; (b) left- and right-lung region of interest (LR-ROI) data sets.