A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

被引：0
作者：
Chenggong Yan
Lingfeng Wang
Jie Lin
Jun Xu
Tianjing Zhang
Jin Qi
Xiangying Li
Wei Ni
Guangyao Wu
Jianbin Huang
Yikai Xu
Henry C. Woodruff
Philippe Lambin
机构：
[1] Southern Medical University,Department of Medical Imaging Center, Nanfang Hospital
[2] Maastricht University,The D
[3] University of Electronic Science and Technology of China,Lab, Department of Precision Medicine, GROW
[4] Philips Healthcare,School for Oncology and Developmental Biology
[5] Nanfang Yanling Hospital,School of Information and Communication Engineering
[6] Southern Medical University,Clinical and Technical Solution
[7] Central South University,Department of Radiology
[8] Philips China Innovation Hub,Department of Hematology, Nanfang Hospital
[9] Huazhong University of Science and Technology,Department of Radiology, Affiliated Haikou Hospital of Xiangya Medical College
[10] Maastricht University Medical Centre,Department of Radiology, Union Hospital, Tongji Medical College
来源：
European Radiology | 2022年 / 32卷
关键词：
Pulmonary tuberculosis; Artificial intelligence; Deep learning; Computed tomography; Thorax;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2188 / 2199
页数：11
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