LungCNET: A High-Performance Deep CNN Model for Lung Cancer Detection Evaluated Against Widely Used CNN Benchmarks

Elham Eskandarnia, Peter Adepoju, Kaveh Kiani, Taha Mansouri, Ayah Binrajab

Open source

DOI
10.3390/bioengineering13080931
Published
2026-08-18
Container
Bioengineering
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/bioengineering13080931,
  title = {LungCNET: A High-Performance Deep CNN Model for Lung Cancer Detection Evaluated Against Widely Used CNN Benchmarks},
  author = {Elham Eskandarnia and Peter Adepoju and Kaveh Kiani and Taha Mansouri and Ayah Binrajab},
  year = {2026},
  journal = {Bioengineering},
  doi = {10.3390/bioengineering13080931},
  url = {https://doi.org/10.3390/bioengineering13080931}
}

RIS

TY  - JOUR
TI  - LungCNET: A High-Performance Deep CNN Model for Lung Cancer Detection Evaluated Against Widely Used CNN Benchmarks
AU  - Elham Eskandarnia
AU  - Peter Adepoju
AU  - Kaveh Kiani
AU  - Taha Mansouri
AU  - Ayah Binrajab
PY  - 2026
JO  - Bioengineering
DO  - 10.3390/bioengineering13080931
UR  - https://doi.org/10.3390/bioengineering13080931
ER  - 

APA

Eskandarnia, E., Adepoju, P., Kiani, K., Mansouri, T., & Binrajab, A. (2026). LungCNET: A High-Performance Deep CNN Model for Lung Cancer Detection Evaluated Against Widely Used CNN Benchmarks. Bioengineering. https://doi.org/10.3390/bioengineering13080931

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