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Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Chest X-rays

2025-11-10

Abstract excerpt

Chest diseases such as pneumonia, tuberculosis, COVID-19, and cardiomegaly continue to pose major global health challenges, demanding rapid and reliable diagnostic support. Chest X-rays remain the most accessible imaging modality, yet interpretation variability among clinicians compromises consistency. This study aims to enhance diagnostic accuracy by comparing several deep learning models for multidisease classif...

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Literature Corpus work
1b8b11be-cc24-5995-adc4-6328788387ec
DOI
10.22541/au.176281867.74300657/v1
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Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Chest X-raysDOI 10.22541/au.176281867.74300657/v1
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