CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification

Medical Image Analysis(2021)

引用 59|浏览22
暂无评分
摘要
•Usage of most spatially detailed feature maps boosts classification quality within the proposed multitask framework.•A deep convolutional network for triage of COVID-19 patients based on identification and severity quantification scores.•A carefully selected independent external test set with other lung pathologies.•Publicly released annotated data and code to ensure reproducibility.
更多
查看译文
关键词
COVID-19,Triage,Convolutional neural network,Chest computed tomography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要