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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Omid Almasi Naghash, Nam Ling, Xiang Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	X-ray detection convolution neural network vision transformer dynamic dropout explainability
On-line přístup:	https://ieeexplore.ieee.org/document/11059244/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!