Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy
Erratum to: Quant Imaging Med Surg 2025;15:8611-26.
The published article entitled “Deep learning-based super-resolution method for projection image compression in radiotherapy” (1) unfortunately contained a mistake. In the Funding section, “the National High Level Hospital Clinical Research Funding (No. 2022-CICAMS-80102022203)” should be corrected as “the National High Level Hospital Clinical Research Funding (No. 2025-LYZX-R-B06) and Beijing Hope Run Special Fund of Cancer Foundation of China (No. LC2021B01)”.
The authors apologize for any inconvenience that it may have caused.
Click here to view the updated version of the article.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Chang Z, Shang J, Fan Y, Huang P, Hu Z, Zhang K, Dai J, Yan H. Deep learning-based super-resolution method for projection image compression in radiotherapy. Quant Imaging Med Surg 2025;15:8611-26. [Crossref] [PubMed]
