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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812362/ https://www.ncbi.nlm.nih.gov/pubmed/33488837 http://dx.doi.org/10.1007/s12559-020-09776-8 |