Automatic COVID-19 lung infection segmentation through modified Unet model
The coronavirus (COVID-19) pandemic has had a terrible impact on human lives globally, with far-reaching consequences for the health and well-being of many people around the world. Statistically, 305.9 million people worldwide tested positive for COVID-19, and 5.48 million people died due to COVID-1...
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| Main Authors: | , , , , , |
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| Format: | Article |
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Hindawi Limited
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103251/ https://dx.doi.org/10.1155/2023/9812052 |
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