Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.

Zhao Y, He S, Zhao D, Ju M, Zhen C, Dong Y, Zhang C, Wang L, Wang S, Che N

Open source

DOI
10.1136/bmjopen-2022-069181
Published
2023 Jul 25
Container
BMJ open
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:10.1136/bmjopen-2022-069181,
  title = {Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.},
  author = {Zhao Y and He S and Zhao D and Ju M and Zhen C and Dong Y and Zhang C and Wang L and Wang S and Che N},
  year = {2023},
  journal = {BMJ open},
  doi = {10.1136/bmjopen-2022-069181},
  url = {https://doi.org/10.1136/bmjopen-2022-069181}
}

RIS

TY  - JOUR
TI  - Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.
AU  - Zhao Y
AU  - He S
AU  - Zhao D
AU  - Ju M
AU  - Zhen C
AU  - Dong Y
AU  - Zhang C
AU  - Wang L
AU  - Wang S
AU  - Che N
PY  - 2023
JO  - BMJ open
DO  - 10.1136/bmjopen-2022-069181
UR  - https://doi.org/10.1136/bmjopen-2022-069181
ER  - 

APA

Y, Z., S, H., D, Z., M, J., C, Z., Y, D., C, Z., L, W., S, W., & N, C. (2023). Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.. BMJ open. https://doi.org/10.1136/bmjopen-2022-069181

Source records