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

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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Bibliographic Details
Main Authors: Omid Almasi Naghash, Nam Ling, Xiang Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
X-ray detection
convolution neural network
vision transformer
dynamic dropout
explainability
Online Access:https://ieeexplore.ieee.org/document/11059244/
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https://ieeexplore.ieee.org/document/11059244/

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