Covid-19 diagnosis on chest radiographs with enhanced deep neural networks

HIGHLIGHTS

• who: Chin Poo Lee and Kian Ming Lim from the Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia have published the research: COVID-19 Diagnosis on Chest Radiographs with Enhanced Deep Neural Networks, in the Journal: Diagnostics 2022, 12, 1828. of /2022/
• what: In this work, four deep neural_networks are examined, including VGG16, MobileNetV2, ResNet50 and DenseNet201, for COVID-19 diagnosis. In this study, four pre-trained CNNs are explored for COVID-19 detection using chest radiographs. The models recorded sensitivity rates that are considered low in COVID-19 detection tasks.
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