Improving Tree-Based Lung Disease Classification from Chest X-Ray Images Using Deep Feature Representations

Healthcare systems worldwide face increasing pressure to deliver accurate, affordable, and scalable diagnostic services while maintaining long-term sustainability. Chest X-ray screening is considered one of the most cost-effective methods for detecting lung disease. However, many deep learning appro...

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Bibliografische gegevens
Hoofdauteurs:	Abdulaziz A. Alsulami, Qasem Abu Al-Haija, Rayed Alakhtar, Huda Alsobhi, Rayan A. Alsemmeari, Badraddin Alturki, Ahmad J. Tayeb
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2026-02-01
Reeks:	Bioengineering
Onderwerpen:	tree-based classifiers fine-tuned CNN deep feature extraction chest X-Ray lung disease screening
Online toegang:	https://www.mdpi.com/2306-5354/13/3/267
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Improving Tree-Based Lung Disease Classification from Chest X-Ray Images Using Deep Feature Representations

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