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Detection of COVID-19 from CT Lung Scans Using Transfer Learning
This paper aims to investigate the use of transfer learning architectures in the detection of COVID-19 from CT lung scans. The study evaluates the performances of various transfer learning architectures, as well as the effects of the standard Histogram Equalization and Contrast Limited Adaptive Hist...
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| Опубликовано в: : | Comput Intell Neurosci |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8042993/ https://ncbi.nlm.nih.gov/pubmed/33936188 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5527923 |
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