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. 2021 Oct 21;12:147. doi: 10.1186/s13244-021-01093-4

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© The Author(s) 2021

Open AccessThis 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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Fig. 1 — Representative examples of segmentation of FFDM using LIBRA. a Segmentation using FOR PROCESSING images; b the same breasts segmented using FOR PRESENTATION images. In red the breast area; in green the dense area. There are large differences in the main breast area (pectoral muscle removal) and in the dense area. c, d An example from another woman representative of very large errors with consequently wrong Percent Density (PD)