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. 2023 Jul 5;6:119. doi: 10.1038/s41746-023-00866-z

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© The Author(s) 2023

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. 4 — Panel (A) is a snapshot of the website before users upload a series of CT images. Panel (B) is a snapshot of the website after users upload a series of CT images. The left side of the page displays the CT images. Doctors can find the lung nodules by sliding the scroll bar below. Once they find the nodule, its corresponding X, Y, and Z coordinates can be recorded manually. On the right side, our algorithm can give the predictive results of Tasks 1–3 by clicking the start calculation button. For a detailed user guideline, doctors can either go to the website (https://seeyourlung.com.cn) to download the manual or refer to the Supplementary Note 3.