A user-friendly deep learning application for accurate lung cancer diagnosis.

Tai DT, Nhu NT, Tuan PA, Sulieman A, Omer H, Alirezaei Z, Bradley D, Chow JCL

DOI: 10.3233/xst-230255
Published: 2024
Container: Journal of X-ray science and technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/xst-230255,
  title = {A user-friendly deep learning application for accurate lung cancer diagnosis.},
  author = {Tai DT and Nhu NT and Tuan PA and Sulieman A and Omer H and Alirezaei Z and Bradley D and Chow JCL},
  year = {2024},
  journal = {Journal of X-ray science and technology},
  doi = {10.3233/xst-230255},
  url = {https://doi.org/10.3233/xst-230255}
}

RIS

TY  - JOUR
TI  - A user-friendly deep learning application for accurate lung cancer diagnosis.
AU  - Tai DT
AU  - Nhu NT
AU  - Tuan PA
AU  - Sulieman A
AU  - Omer H
AU  - Alirezaei Z
AU  - Bradley D
AU  - Chow JCL
PY  - 2024
JO  - Journal of X-ray science and technology
DO  - 10.3233/xst-230255
UR  - https://doi.org/10.3233/xst-230255
ER  -

APA

DT, T., NT, N., PA, T., A, S., H, O., Z, A., D, B., & JCL, C. (2024). A user-friendly deep learning application for accurate lung cancer diagnosis.. Journal of X-ray science and technology. https://doi.org/10.3233/xst-230255

Source records

pubmed · retrieved 2026-09-26T08:30:22.474Z