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. 2021 Apr 14;11:8110. doi: 10.1038/s41598-021-87644-7

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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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(a–c) show representative surgical serial sections for ADC (#1-#9), SCC (#1-#8), and SCLC (#1-#8), respectively, and their associated diagnosis (D) and prediction (P) by our model. (a) #5 is a false negative prediction while all the rest are true positives. (d–f) show representative true positive probability heatmaps for ADC (d), SCC (e), and SCLC (f), respectively. Histopathologically, all the detected areas correspond to cancer cells. In the heatmap colour spectrum, red indicates high probability, blue indicates low.