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...

Descripción completa

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

Internet

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

Ejemplares similares