Deep Learning-Driven Pneumonia Classification: Leveraging CNNModelsfor Multi-Cause Diagnosis from Chest X-rays
Year: 2025
Type: article
Abstract: 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.
Author: Joshi, Snehal
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6893076997
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