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. 2024 May 21;14:11588. doi: 10.1038/s41598-024-62076-1

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© The Author(s) 2024

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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Framework for diabetic foot ulcer assessment. (A) Internal phase were split into three sets with a ratio of 7:2:1, comprising the training, validation and test sets. Foot Ulcer Segmentation Challenge 2021 data is for external test. (B) Two models were employed, one for diabetic foot ulcer stratification and the other for lesion identification and segmentation. (C) The scoring system for diabetic foot ulcers is founded on mathematical principles. (D) Algorithmic scores from the test dataset were consistently compared with physician-assigned scores to identify specific lesion features. (E) Dermatologists uploaded original diabetic foot ulcer photos into the intelligent scoring platform, which generated corresponding scores.