Investigation of ConViT on COVID-19 lung image classification and the effects of image resolution and number of attention heads.
COVID-19 has been one of the popular foci in the research community since its first outbreak in China, 2019. Radiological patterns such as ground glass opacity (GGO) and consolidations are often found in CT scan images of moderate to severe COVID-19 patients. Therefore, a deep learning model can be...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/105723/1/NorlizaMNoor2023_InvestigationofConVitonCovid19LungImage.pdf http://eprints.utm.my/105723/ http://dx.doi.org/10.30880/ijie.2023.15.03.005 |
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