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. 2022 Nov 2;12:18466. doi: 10.1038/s41598-022-22731-x

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© The Author(s) 2022

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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Representative heatmaps of an EBV positive case. The colors of the overlaid heatmaps represent the output of the EBV classification model (second classifier in the sequential classification framework), which means predicted probabilities of being an EBV-positive tumor, as defined in the color bar. In the top row, each heatmap corresponds to the EBV positive tumor probability values from classifiers before (a) and after (b) fine-tuning with the ISH dataset. A zoomed-in view of a region with low probability (c) and high probability (d) of being an EBV positive tumor, according to the fine-tuned EBV classifier (EBVNet), is visualized in the bottom row.