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. 2021 Feb 17;11:3964. doi: 10.1038/s41598-021-83515-3

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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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Visual assessment of the ResNet-50 classification results of a radiograph of a dog showing an alveolar pattern in the cranial lung lobe. The activations of the last layer are visualized superimposed on the radiographs. Each image corresponds to the activations for a specific radiographic finding. The alveolar pattern was correctly identified by the model (B) however the model also falsely identified the presence of a mass (E). (A) Original image, (B) alveolar pattern, C bronchial pattern, (D) cardiomegaly, (E) mass, (F) interstitial pattern, (G) pleural effusion, (H) pneumothorax, (I) unremarkable.