Çağlar Çiltaş

Performance analysis of deep learning approaches for pneumonia diagnosis using chest x-ray images

A Hybrid Prototype Fusion Network (HPFN) developed based on the ConvNeXt-Tiny architecture is proposed, and deep feature representation and prototype-based similarity calculation are combined in a single decision mechanism, outperforming both the compared deep learning architectures and traditional feature-based methods.