Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia

21 Feb 2020Xiaowei XuXiangao JiangChunlian MaPeng DuXukun LiShuangzhi LvLiang YuYanfei ChenJunwei SuGuanjing LangYongtao LiHong ZhaoKaijin XuLingxiang RuanWei Wu

We found that the real time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab has a relatively low positive rate in the early stage to determine COVID-19 (named by the World Health Organization). The manifestations of computed tomography (CT) imaging of COVID-19 had their own characteristics, which are different from other types of viral pneumonia, such as Influenza-A viral pneumonia... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet