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. 2022 Oct 28;12(12):2637–2651. doi: 10.1007/s13555-022-00833-8

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Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/.

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Fig. 3 — 3D model of a patient taken with Vectra WB360 (Canfield Sci. Parsippany, NJ) of a 63-year-old patient with a melanoma of the left areola. Despite the algorithm’s capacity to identify the cherry hemangioma directly below the melanoma, the special location of the melanoma does not allow for the identification of a melanoma with a diameter of approximately 4 cm