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. 2021 Jun 10;12:3541. doi: 10.1038/s41467-021-23913-3

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© The Author(s) 2021

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — a Screening satisfactory and unsatisfactory digital smears produced by three different sedimentation methods. b Division of the whole digital smears into patches with a size of 6000 × 6000 pixels. c Feature extraction of the patches. d Trained XGBoost model for predicting whether digital smear was qualified. The representative images in (a–c) display the construction process of the DPIQC system.