The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

Chen Y, Tian X, Fan K, Zheng Y, Tian N, Fan K

Open source

DOI
10.1155/2022/2864170
Published
2022
Container
Computational and mathematical methods in medicine
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 10/100 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:10.1155/2022/2864170,
  title = {The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.},
  author = {Chen Y and Tian X and Fan K and Zheng Y and Tian N and Fan K},
  year = {2022},
  journal = {Computational and mathematical methods in medicine},
  doi = {10.1155/2022/2864170},
  url = {https://doi.org/10.1155/2022/2864170}
}

RIS

TY  - JOUR
TI  - The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.
AU  - Chen Y
AU  - Tian X
AU  - Fan K
AU  - Zheng Y
AU  - Tian N
AU  - Fan K
PY  - 2022
JO  - Computational and mathematical methods in medicine
DO  - 10.1155/2022/2864170
UR  - https://doi.org/10.1155/2022/2864170
ER  - 

APA

Y, C., X, T., K, F., Y, Z., N, T., & K, F. (2022). The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.. Computational and mathematical methods in medicine. https://doi.org/10.1155/2022/2864170

Source records