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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...

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Detalles Bibliográficos
Autores principales:	Yang, Shuyi, Jiang, Longquan, Cao, Zhuoqun, Wang, Liya, Cao, Jiawang, Feng, Rui, Zhang, Zhiyong, Xue, Xiangyang, Shi, Yuxin, Shan, Fei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2020
Materias:	Original Article
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

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