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. 2021 Aug 9;11:16075. doi: 10.1038/s41598-021-95561-y

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Grad-CAM of ResNet-50 models—the label on the left side of each row corresponds to the ground-truth label of that image (COVID-19, Pneumonia, Normal). Each image in each row corresponds to the Grad-CAM inference result on the different modified test sets (data, data_lungs_isolated, data_lungs_removed, data_lungs_framed, data_lungs_boxed_out). The label underneath the individual images corresponds to the classification label generated by the network corresponding to that modified version of the dataset.