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COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting
COVID-19 is an ongoing pandemic disease. To make more accurate diagnosis on COVID-19 than existing approaches, this paper proposed a novel method combining DenseNet and optimization of transfer learning setting (OTLS) strategy. Preprocessing was used to enhance, crop, and resize the collected chest...
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| Publicado no: | Cognit Comput |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7812362/ https://ncbi.nlm.nih.gov/pubmed/33488837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12559-020-09776-8 |
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