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Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy(Front Oncol., (2021), 11, (644703), 10.3389/fonc.2021.644703)

Publication ,  Journal Article
Ren, G; Lam, SK; Zhang, J; Xiao, H; Cheung, ALY; Ho, WY; Qin, J; Cai, J
Published in: Frontiers in Oncology
September 5, 2022

In the published article, there was an error in the Funding statement. The funding statement for the General Research Fund was displayed as “GRF 151022/19M”. The correct Funding statement appears below.

Duke Scholars

Published In

Frontiers in Oncology

DOI

EISSN

2234-943X

Publication Date

September 5, 2022

Volume

12

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ren, G., Lam, S. K., Zhang, J., Xiao, H., Cheung, A. L. Y., Ho, W. Y., … Cai, J. (2022). Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy(Front Oncol., (2021), 11, (644703), 10.3389/fonc.2021.644703). Frontiers in Oncology, 12. https://doi.org/10.3389/fonc.2022.1005287
Ren, G., S. K. Lam, J. Zhang, H. Xiao, A. L. Y. Cheung, W. Y. Ho, J. Qin, and J. Cai. “Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy(Front Oncol., (2021), 11, (644703), 10.3389/fonc.2021.644703).” Frontiers in Oncology 12 (September 5, 2022). https://doi.org/10.3389/fonc.2022.1005287.

Published In

Frontiers in Oncology

DOI

EISSN

2234-943X

Publication Date

September 5, 2022

Volume

12

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis