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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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2026-04-01
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| Seria: | Alexandria Engineering Journal |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S1110016826001237 |
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