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. 2016 May 5;15:49. doi: 10.1186/s12938-016-0164-3

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© Li et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 12 — Segmentation of the synthetic image. a The segmentation result by the proposed multi-features dynamic clustering segmentation method, in clear background; b the segmentation result by the proposed multi-features dynamic clustering segmentation method, in background with intensity inhomogeneity