Deep learning-based medical image classification using CNN and attention mechanisms for disease detection and diagnosis

This study aims to develop a reliable deep learning framework for detecting pneumonia from chest X-ray images using attention-enhanced convolutional neural networks. Sourced from the publicly accessible Kaggle repository, the dataset consists of 5,863 labelled greyscale chest X-rays classed as

Authors

Publication Details

Journal
International Journal of Computing and Artificial Intelligence
Published
2025-01-01
DOI
https://doi.org/10.33545/27076571.2025.v6.i1c.153
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning-based medical image classification using CNN and attention mechanisms for disease detection and diagnosis

Nisha
International Journal of Computing and Artificial Intelligence
Brain Tumor Detection and Classification
article

Deep learning-based medical image classification using CNN and attention mechanisms for disease detection and diagnosis

Nisha
article en

Abstract

This study aims to develop a reliable deep learning framework for detecting pneumonia from chest X-ray images using attention-enhanced convolutional neural networks. Sourced from the publicly accessible Kaggle repository, the dataset consists of 5,863 labelled greyscale chest X-rays classed as

International Journal of Computing and Artificial IntelligenceVol. 6(1)
Openalex Percentile: Top 85%
Brain Tumor Detection and Classification
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Deep learning-based medical image classification using CNN and attention mechanisms for disease detection and diagnosis — Nisha · International Journal of Computing and Artificial Intelligence (2025) | TGRS Research Map | TGRS