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ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2025
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discipline_display Engineering & Technology
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publishDate 2025
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spellingShingle ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_auth ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_full ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_fullStr ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_full_unstemmed ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_short ViT-ResNet Fusion: An Explainable Hybrid Framework for High-Accuracy Multiclass Lung Disease Classification in Chest X-Rays
title_sort vit-resnet fusion: an explainable hybrid framework for high-accuracy multiclass lung disease classification in chest x-rays
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11316598