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. 2021 Aug 16;11:16605. doi: 10.1038/s41598-021-95747-4

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© The Author(s) 2021

Open Access This 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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Visualization of LungCNN-Histo predictions for annotated regions. Shown are representative regions of interest (1 mm × 1 mm) for regions with predominance of each of the feature classes (see legend). Black regions represent areas of tissue where there was lack of consensus for the three pathologist annotations. Middle columns for each panel represent consensus pathologist annotations and the right panel depicts the model classification across patches (with the non-consensus patches masked in black to match for easier visual reference to the pathologist annotations.) H&E hematoxylin and eosin, ROIs regions of interest.