The usage of deep neural network improves distinguishing COVID-19 from other suspected viral pneumonia by clinicians on chest CT: a real-world study

OBJECTIVES: Based on the current clinical routine, we aimed to develop a novel deep learning model to distinguish coronavirus disease 2019 (COVID-19) pneumonia from other types of pneumonia and validate it with a real-world dataset (RWD). METHODS: A total of 563 chest CT scans of 380 patients (227/3...

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Detalles Bibliográficos
Autores principales: Xie, Qiuchen, Lu, Yiping, Xie, Xiancheng, Mei, Nan, Xiong, Yun, Li, Xuanxuan, Zhu, Yangyong, Xiao, Anling, Yin, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769567/
https://www.ncbi.nlm.nih.gov/pubmed/33372243
http://dx.doi.org/10.1007/s00330-020-07553-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769567/
https://www.ncbi.nlm.nih.gov/pubmed/33372243
http://dx.doi.org/10.1007/s00330-020-07553-7

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