- Department of Radiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China
by Chen S, Zhang H, Chen Y, Chen S, Cao W and Tong Y (2025). Front. Oncol. 15:1573735. doi: 10.3389/fonc.2025.1573735
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28. Hemodynamic Differences in Intracranial Aneurysms before and after Rupture.”
It should be “5. Wan YL, Wu PW, Huang PC, Tsay PK, Pan KT, Trang NN, et al. The use of artificial intelligence in the differentiation of malignant and benign lung nodules on computed tomograms proven by surgical pathology. Cancers (Basel). (2020) 12:2211. doi: 10.3390/cancers12082211.
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The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s note
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Keywords: lung, pure ground-glass nodule, identification, nomogram, CT, AI, quantitative parameters, benignity
Citation: Chen S, Zhang H, Chen Y, Chen S, Cao W and Tong Y (2025) Corrigendum: Differentiation of early-stage tumors from benign lesions manifesting as pure ground-glass nodule: a clinical prediction study based on AI-derived quantitative parameters. Front. Oncol. 15:1631465. doi: 10.3389/fonc.2025.1631465
Received: 19 May 2025; Accepted: 20 May 2025;
Published: 03 June 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Chen, Zhang, Chen, Chen, Cao and Tong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shuxiang Chen, NTI3MzM2MTAwQHFxLmNvbQ==