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. 2018 Oct 18;1:59. doi: 10.1038/s41746-018-0065-x

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — View classification and left ventricular hypertrophy classification pipeline. View segmentation Unet predicts a segmentation map over the main FoV, which is applied to the input image prior to view classification. Based on the predicted view class, input image is routed to the respective disease classification pipeline. a4c images are routed to a4c segmentation Unet, which predicts a segmentation map over the left ventricle. This map is applied to the input image prior to LVH disease classification