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. 2022 Feb 24;12:3155. doi: 10.1038/s41598-022-07092-9

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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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Two sample subjects, one with agreement between the dNN and the reader and the other with disagreement. As described in Fig. 2, the three slices were combined into a color image as shown in the top labels to facilitate classification by 2D image-based networks. (a) A subject where the dNN and reader assessments agreed with the OAI class (both giving a value of 0). (b) A subject where the dNN agreed with the ground truth of normal fluid amounts, while the reader estimated effusion.