Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019

Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019

ObjectivesCoronavirus disease 2019 (COVID-19) is sweeping the globe and has resulted in infections in millions of people. Patients with COVID-19 face a high fatality risk once symptoms worsen; therefore, early identification of severely ill patients can enable early intervention, prevent disease pro...

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Bibliographic Details
Main Authors: Lu-shan Xiao, Pu Li, Fenglong Sun, Yanpei Zhang, Chenghai Xu, Hongbo Zhu, Feng-Qin Cai, Yu-Lin He, Wen-Feng Zhang, Si-Cong Ma, Chenyi Hu, Mengchun Gong, Li Liu, Wenzhao Shi, Hong Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
COVID-19
computed tomography
deep learning
disease severity
multiple instance learning
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00898/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00898/full

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