AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification

Rapeepat Klangbunrueang, Pongsathon Pookduang, Wirapong Chansanam, Tassanee Lunrasri

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DOI: 10.3390/informatics12010018
Published: 2025-02-11
Container: Informatics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/informatics12010018,
  title = {AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification},
  author = {Rapeepat Klangbunrueang and Pongsathon Pookduang and Wirapong Chansanam and Tassanee Lunrasri},
  year = {2025},
  journal = {Informatics},
  doi = {10.3390/informatics12010018},
  url = {https://doi.org/10.3390/informatics12010018}
}

RIS

TY  - JOUR
TI  - AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification
AU  - Rapeepat Klangbunrueang
AU  - Pongsathon Pookduang
AU  - Wirapong Chansanam
AU  - Tassanee Lunrasri
PY  - 2025
JO  - Informatics
DO  - 10.3390/informatics12010018
UR  - https://doi.org/10.3390/informatics12010018
ER  -

APA

Klangbunrueang, R., Pookduang, P., Chansanam, W., & Lunrasri, T. (2025). AI-Powered Lung Cancer Detection: Assessing VGG16 and CNN Architectures for CT Scan Image Classification. Informatics. https://doi.org/10.3390/informatics12010018

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crossref · retrieved 2026-09-24T23:43:35.837Z