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

Internet

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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