DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer

Tingting Fu, Peipei Yan, Lina Zhou, Zhihua Lu, Ao Liu, Xiao Ding, Jacopo Vannucci, Paul Hofman, Andrzej Swierniak, Edyta Szurowska, Junjun Zhang, Shicheng Li

Open source

DOI: 10.21037/tlcr-24-716
Published: 2024-10
Container: Translational Lung Cancer Research
Publisher: AME Publishing Company
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21037/tlcr-24-716,
  title = {DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer},
  author = {Tingting Fu and Peipei Yan and Lina Zhou and Zhihua Lu and Ao Liu and Xiao Ding and Jacopo Vannucci and Paul Hofman and Andrzej Swierniak and Edyta Szurowska and Junjun Zhang and Shicheng Li},
  year = {2024},
  journal = {Translational Lung Cancer Research},
  doi = {10.21037/tlcr-24-716},
  url = {https://doi.org/10.21037/tlcr-24-716}
}

RIS

TY  - JOUR
TI  - DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer
AU  - Tingting Fu
AU  - Peipei Yan
AU  - Lina Zhou
AU  - Zhihua Lu
AU  - Ao Liu
AU  - Xiao Ding
AU  - Jacopo Vannucci
AU  - Paul Hofman
AU  - Andrzej Swierniak
AU  - Edyta Szurowska
AU  - Junjun Zhang
AU  - Shicheng Li
PY  - 2024
JO  - Translational Lung Cancer Research
DO  - 10.21037/tlcr-24-716
UR  - https://doi.org/10.21037/tlcr-24-716
ER  -

APA

Fu, T., Yan, P., Zhou, L., Lu, Z., Liu, A., Ding, X., Vannucci, J., Hofman, P., Swierniak, A., Szurowska, E., Zhang, J., & Li, S. (2024). DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer. Translational Lung Cancer Research. https://doi.org/10.21037/tlcr-24-716

Source records

crossref · retrieved 2026-09-26T19:13:35.362Z