Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study

PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images. METHODS: We retrospectively collected chest CT images of 495 patients from three hospitals in China. 495 datasets were randomly divided into 395 cases (80%, 29...

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Detalles Bibliográficos
Autores principales: Wu, Xiangjun, Hui, Hui, Niu, Meng, Li, Liang, Wang, Li, He, Bingxi, Yang, Xin, Li, Li, Li, Hongjun, Tian, Jie, Zha, Yunfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198437/
https://www.ncbi.nlm.nih.gov/pubmed/32408222
http://dx.doi.org/10.1016/j.ejrad.2020.109041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198437/
https://www.ncbi.nlm.nih.gov/pubmed/32408222
http://dx.doi.org/10.1016/j.ejrad.2020.109041

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