Contrasting EfficientNet, ViT, and gMLP for COVID-19 Detection in Ultrasound Imagery
Contrasting EfficientNet, ViT, and gMLP for COVID-19 Detection in Ultrasound Imagery
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Basel: MDPI AG
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English
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Basel: MDPI AG
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A timely diagnosis of coronavirus is critical in order to control the spread of the virus. To aid in this, we propose in this paper a deep learning-based approach for detecting coronavirus patients using ultrasound imagery. We propose to exploit the transfer learning of a EfficientNet model pre-trained on the ImageNet dataset for the classification...
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Contrasting EfficientNet, ViT, and gMLP for COVID-19 Detection in Ultrasound Imagery
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9605641
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9605641
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ISSN
2075-4426
E-ISSN
2075-4426
DOI
10.3390/jpm12101707
