Design of a lung region spatial attention network with wavelet features for COVID-19 chest X-ray image diagnosis

This paper introduces the Lung Region Spatial Attention Network with Wavelet Features (LRSANW) for multi-class classification of chest X-ray (CXR) images in COVID-19 detection. At the core of LRSANW is the Lung Region Spatial Attention Mechanism (LRSAM), designed to deliver explainable spatial atten...

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Autori principali:	Yu-Che Chuang, Hung-Hsu Tsai, Kai-Hsiang Hsu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-06-01
Serie:	Alexandria Engineering Journal
Soggetti:	COVID-19 detection Spatial Attention Chest X-Ray Image Classification Ensemble Learning Discrete Wavelets Transformation Explainable AI
Accesso online:	http://www.sciencedirect.com/science/article/pii/S111001682600373X
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