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. 2022 Nov 16;12:19612. doi: 10.1038/s41598-022-23064-5

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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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Results of DNN single-model and ensemble predictions of MRI sequences. The means and ranges of the SS-Avgs of the MRI sequences are shown. The top 3 MRI sequences of the ensemble predictions are T2axi (89.8%), T2sag (86.9%), and DWI (86.5%). The top 3 MRI sequences of the single-model predictions are T2axi (86.6%), T2cor (84.9%), and DWI (84.1%). The results of the ensemble predictions are better those from the single models for all MRI sequences.