PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation.

Luan S, Wei C, Ding Y, Xue X, Wei W, Yu X, Wang X, Ma C, Zhu B

Open source

DOI
10.3389/fonc.2023.1177788
Published
2023
Container
Frontiers in oncology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fonc.2023.1177788,
  title = {PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation.},
  author = {Luan S and Wei C and Ding Y and Xue X and Wei W and Yu X and Wang X and Ma C and Zhu B},
  year = {2023},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2023.1177788},
  url = {https://doi.org/10.3389/fonc.2023.1177788}
}

RIS

TY  - JOUR
TI  - PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation.
AU  - Luan S
AU  - Wei C
AU  - Ding Y
AU  - Xue X
AU  - Wei W
AU  - Yu X
AU  - Wang X
AU  - Ma C
AU  - Zhu B
PY  - 2023
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2023.1177788
UR  - https://doi.org/10.3389/fonc.2023.1177788
ER  - 

APA

S, L., C, W., Y, D., X, X., W, W., X, Y., X, W., C, M., & B, Z. (2023). PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation.. Frontiers in oncology. https://doi.org/10.3389/fonc.2023.1177788

Source records