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. 2023 Jan 2;13:68. doi: 10.1038/s41598-022-27078-x

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© The Author(s) 2023

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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Classified components of a pigment epithelial detachment (PED) using different image techniques on an optical coherence tomography B-scan taken from a patient with neovascular age-related macular degeneration. Classified areas of the PED include serous (red), neovascular (blue), and fibrous (green) components. Original b-scan (A). Adaptive thresholding using Otsu’s method (B). Unsupervised learning via K-means clustering (C). Final pigment epithelial detachment composition index technique using kernel-based image processing techniques (D).