Deep Learning-Driven Pneumonia Classification: Leveraging CNNModelsfor Multi-Cause Diagnosis from Chest X-rays
Research Paper Title" Deep Learning-Driven Pneumonia Classification: Leveraging CNNModelsfor Multi-Cause Diagnosis from Chest X-rays Journal: International Journal of Engineering and Techniques(IJET) Volume 11 Issue 1, February2025 This research presented a deep learning-based approach for diagnosing and classifying pneumonia into bacterial, viral, and fungal types using chest X-ray images. Leveraging publicly available datasets, we implemented and evaluated two powerful CNN architectures—ResNet-50 and DenseNet-121—to perform multi-class classification with a focus on clinical relevance and model interpretability.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.15303211
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00