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. 2019 Jun 7;19:34. doi: 10.1186/s40644-019-0221-9

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© The Author(s). 2019

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. 2 — Flowchart for data preprocessing. We selected a left knee CT and a chest CT, and correspondingly the sites of tumor segmentation were located in the patella and rib, respectively. The voxel spacing of left knee CT and chest CT were 0.488*0.488*0.625 mm³ and 0.717*0.717*1.000 mm³. By resampling, their voxel spacing were both 0.500*0.500*0.500 mm³. Then denoising was used to get the images for segmentation