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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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Detalles Bibliográficos
Autores principales: Zhang, Yu-Dong, Satapathy, Suresh Chandra, Zhang, Xin, Wang, Shui-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
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