Pneumonia Detector: Development of a Deep Learning-Based Pneumonia Detection System Using Chest X-ray Images

In this project, we propose a deep learning-based approach for the automatic detection of pneumonia from chest X-ray images using Convolutional Neural Networks (CNNs). The proposed system leverages the Xception architecture as a feature extractor combined with a custom classification head, data preprocessing, augmentation, and Grad-CAM visualization to localize the affected regions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15348698
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00
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article

Pneumonia Detector: Development of a Deep Learning-Based Pneumonia Detection System Using Chest X-ray Images

Zenodo (CERN European Organization for Nuclear Research)
Marine animal studies overview
article

Pneumonia Detector: Development of a Deep Learning-Based Pneumonia Detection System Using Chest X-ray Images

article en

Abstract

In this project, we propose a deep learning-based approach for the automatic detection of pneumonia from chest X-ray images using Convolutional Neural Networks (CNNs). The proposed system leverages the Xception architecture as a feature extractor combined with a custom classification head, data preprocessing, augmentation, and Grad-CAM visualization to localize the affected regions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Marine animal studies overview
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Pneumonia Detector: Development of a Deep Learning-Based Pneumonia Detection System Using Chest X-ray Images · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS