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Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography

Convolutional neural networks (CNNs) have shown promise in accurately diagnosing coronavirus disease 2019 (COVID-19) and bacterial pneumonia using chest X-ray images. However, determining the optimal feature extraction approach is challenging. This study investigates the use of fusion-extracted feat...

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Detalles Bibliográficos
Autores principales:	Lin, Kuo-Hsuan, Lu, Nan-Han, Okamoto, Takahide, Huang, Yung-Hui, Liu, Kuo-Ying, Matsushima, Akari, Chang, Che-Cheng, Chen, Tai-Been
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218019/ https://www.ncbi.nlm.nih.gov/pubmed/37239653 http://dx.doi.org/10.3390/healthcare11101367

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