Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with a risk of fatality of 4.03% in China and the highest...

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Bibliographic Details
Main Authors: Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
COVID-19
deep learning
weakly supervision
CT~images
classification
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9127422/

Internet

https://ieeexplore.ieee.org/document/9127422/

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