HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification

Medical chest X-ray (CXR) classification necessitates balancing detailed local feature extraction with capturing broader, long-range dependencies, especially when working with limited and heterogeneous datasets. In this paper, we propose HyCoViT, a hybrid model that integrates a custom Convolutional...

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Autors principals:	Omid Almasi Naghash, Nam Ling, Xiang Li
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	X-ray detection convolution neural network vision transformer dynamic dropout explainability
Accés en línia:	https://ieeexplore.ieee.org/document/11059244/
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