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. 2019 Jun 19;2:218. doi: 10.1038/s42003-019-0437-z

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© The Author(s) 2019

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. 7 — Training of crYOLO on KLH. a One example of a particle picking result by crYOLO trained for all views with 14 micrographs of the full KLH dataset and b trained only for side views. Scale bar, 70 nm. c Precision-recall curves for the low defocus micrographs of the KLH dataset using several training set sizes (Supplementary Data 1). The curves were estimated based on 17 randomly selected test micrographs out of the full dataset. The AUC values are 0.97 (blue), 0.94 (orange), 0.9 (green)