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. 2021 Jan 12;11:567. doi: 10.1038/s41598-020-80783-3

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© The Author(s) 2021

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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Left, orthoslice visualization of 3D US of the head of one infant with PHVD. The dilated ventricles are clearly visible. Top right, example of 3D patch surface visualization of the ventricles obtained using deep learning. Bottom left, representative sagittal and coronal slices of one 3D US of one patient with PHVD. Bottom right, representative RGB image generated by stacking three consecutive sagittal slices, the corresponding labels, and the segmentation calculated using a convolutional neural network (CNN).