Channel Attention Residual Network for diagnosing Pneumonia

Zhaoxia Guo,Jianjun Zhang,Yiming Zuo,Peishun Liu,Ruichun Tang,Xiaoxia Li

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)（2021）

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摘要

Lately, the rampant of Coronavirus (COVID-19) epidemic of global has drawn a lot of attention to pneumonia and other infectious diseases of the lungs. chest X-ray images are the most effective way to diagnose and detect pneumonia diseases. In this paper, a channel attention residual network model ECA-XNet is proposed for diagnosing pneumonia with chest X-ray images. Using deep residual networks in...

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关键词

COVID-19,Sensitivity,Infectious diseases,Pulmonary diseases,Lung,Predictive models,Convolutional neural networks

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