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Improving the performance of deep learning models in predicting and classifying gamma passing rates with discriminative features and a class balancing technique: a retrospective cohort study

Crossref DOI link: https://doi.org/10.1186/s13014-024-02496-5

Published Online: 2024-07-31

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

Authors

Song, Wei

Shang, Wen

Li, Chunying

Bian, Xinyu

Lu, Hong

Ma, Jun

Yu, Dahai
Clinical Trials ^BETA

Clinical trials referenced in this document:

chictr2000031276 at Chinese Clinical Trial Registry

Documents that mention this clinical trial

Improving the performance of deep learning models in predicting and classifying gamma passing rates with discriminative features and a class balancing technique: a retrospective cohort study
https://doi.org/10.1186/s13014-024-02496-5
Funding

Funding for this research was provided by:

Innovation development fund of Jiangsu Province Hospital of Chinese Medicine (Y2019CX26)

National Natural Science Foundation of China (81703758)
License Information

Text and Data Mining valid from 2024-07-31

Version of Record valid from 2024-07-31
More Information

Article History

Received: 25 January 2024

Accepted: 24 July 2024

First Online: 31 July 2024

Declarations

:

: This study was approved by the Ethics Committee of Affiliated Hospital of Nanjing University of Chinese Medicine (Jiangsu Province Hospital of Chinese Medicine), and written informed consent was obtained from all the patients.

: The authors give their permission for the submission.

: The authors declare that they have no competing interests.

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