Pneumonia detection system using convolutional neural network with DenseNet201 architecture
- DOI
- 10.11591/ijict.v14i3.pp1172-1178
- Published
- 2025-12-01
- Container
- International Journal of Informatics and Communication Technology (IJ-ICT)
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.11591/ijict.v14i3.pp1172-1178,
title = {Pneumonia detection system using convolutional neural network with DenseNet201 architecture},
author = {Muhammad Qomaruddin and Andi Riansyah and Hildan Mulyo Hermawan and Moch Taufik},
year = {2025},
journal = {International Journal of Informatics and Communication Technology (IJ-ICT)},
doi = {10.11591/ijict.v14i3.pp1172-1178},
url = {https://doi.org/10.11591/ijict.v14i3.pp1172-1178}
}RIS
TY - JOUR TI - Pneumonia detection system using convolutional neural network with DenseNet201 architecture AU - Muhammad Qomaruddin AU - Andi Riansyah AU - Hildan Mulyo Hermawan AU - Moch Taufik PY - 2025 JO - International Journal of Informatics and Communication Technology (IJ-ICT) DO - 10.11591/ijict.v14i3.pp1172-1178 UR - https://doi.org/10.11591/ijict.v14i3.pp1172-1178 ER -
APA
Qomaruddin, M., Riansyah, A., Hermawan, H. M., & Taufik, M. (2025). Pneumonia detection system using convolutional neural network with DenseNet201 architecture. International Journal of Informatics and Communication Technology (IJ-ICT). https://doi.org/10.11591/ijict.v14i3.pp1172-1178
Source records
- crossref · retrieved 2026-11-05T05:05:55.811Z