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. 2023 Dec 14;13:22267. doi: 10.1038/s41598-023-49197-9

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© The Author(s) 2023

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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t-SNE visualization of features generated by the MTN from images acquired with HF-HRME in the current study and with the original HRME in the pilot study. Each point corresponds to features from a single image quadrant and is labeled by study. Study-specific clusters indicate a significant feature shift. t-SNE t-distributed stochastic neighbor embedding, MTN multi-task network, HF-HRME high frame rate high-resolution microendoscope, HRME high-resolution microendoscope.