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. 2019 Feb 28;9:3058. doi: 10.1038/s41598-019-39795-x

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© The Author(s) 2019

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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Result of Choroid Layer Segmentation using deep learning method: (a) shows part of the image containing an OCT image being labeled by the doctor, where BM is marked in green and choroid is marked in red. (b) Represents the OCT image segmentation performed by the proposed methodology, here the choroid layer is marked in green and BM is labeled in red color.