SCH-Net: A ViT-ResNet hybrid network with STERN module for automatic classification of thoracic diseases on clinical chest X-rays

Thoracic diseases pose a significant threat to human health, and timely chest X-ray diagnosis is crucial for guiding clinical intervention. Traditional manual interpretation of chest X-rays is plagued by posture-related artifacts, subtle lesion missed detection, and heavy workload, resulting in low...

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Bibliografiske detaljer

Principais autores:	Linting Xu, Haozhou Wang, Tian Jiang, Hanwei Wei, Hui Li, Meijuan Yan
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-04-01
Serier:	Alexandria Engineering Journal
Fag:	Clinical chest X-ray Thoracic disease classification Hybrid neural network ViT-ResNet Cross-attention STERN module
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1110016826001237
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