Crossmark

Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences

Crossref DOI link: https://doi.org/10.1038/s41598-024-69735-3

Published Online: 2024-08-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liang, Zhu

Li, Jiamin

Tang, Yihan

Zhang, Yaxuan

Chen, Chunyuan

Li, Siyuan

Wang, Xuefeng

Xu, Xinyan

Zhuang, Ziye

He, Shuyan

Deng, Biao
License Information

Text and Data Mining valid from 2024-08-19

Version of Record valid from 2024-08-19
More Information

Article History

Received: 22 March 2024

Accepted: 8 August 2024

First Online: 19 August 2024

Change Date: 26 March 2025

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1038/s41598-025-94410-6

Competing interests

: The authors declare no competing interests.

Updates are available Correction dated 2025-03-26

Click to view Correction: https://doi.org/10.1038/s41598-025-94410-6