From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

被引：0

作者：

Zhang Li

Zheng Zhong

Yang Li

Tianyu Zhang

Liangxin Gao

Dakai Jin

Yue Sun

Xianghua Ye

Li Yu

Zheyu Hu

Jing Xiao

Lingyun Huang

Yuling Tang

机构：

[1] National University of Defense Technology,College of Aerospace Science and Engineering

[2] Hunan Key Laboratory for Image Measurement and Vision Navigation,Department of Radiology

[3] The First Hospital of Changsha City,GROW School for Oncology and Development Biology

[4] Maastricht University,Department of Electrical Engineering

[5] Department of Radiology,Department of Radiotherapy, The First Affiliated Hospital

[6] Netherlands Cancer Institute (NKI),Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya Medical School

[7] PingAn Technology,Department of Respiratory Medicine

[8] PAII Inc.,undefined

[9] Eindhoven University of Technology,undefined

[10] Zhejiang University,undefined

[11] Hunan LanXi Biotechnology Ltd.,undefined

[12] Central South University,undefined

[13] The First Hospital of Changsha City,undefined

来源：

European Radiology | 2020年 / 30卷

关键词：

COVID-19; Deep learning; Disease progression; Artificial intelligence;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：6828 / 6837

页数：9