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Deep learning for detecting corona virus disease 2019 (COVID-19) on high-resolution computed tomography: a pilot study
BACKGROUND: To evaluate the diagnostic efficacy of Densely Connected Convolutional Networks (DenseNet) for detection of COVID-19 features on high resolution computed tomography (HRCT). METHODS: The Ethic Committee of our institution approved the protocol of this study and waived the requirement for...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210135/ https://www.ncbi.nlm.nih.gov/pubmed/32395494 http://dx.doi.org/10.21037/atm.2020.03.132 |