LungCNET: A High-Performance Deep CNN Model for Lung Cancer Detection Evaluated Against Widely Used CNN Benchmarks
- DOI
- 10.3390/bioengineering13080931
- Published
- 2026-08-18
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T13:42:19.078Z