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

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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Bibliographic Details
Main Authors: Kuo-Hsuan Lin, Nan-Han Lu, Takahide Okamoto, Yung-Hui Huang, Kuo-Ying Liu, Akari Matsushima, Che-Cheng Chang, Tai-Been Chen
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Healthcare
Subjects:
CXR
COVID-19
bacterial pneumonia
hybrid AI model
deep learning
feature fusion
Online Access:https://www.mdpi.com/2227-9032/11/10/1367

Internet

https://www.mdpi.com/2227-9032/11/10/1367

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