机构：[1]Yunnan Key Laboratory of Opto- electronic Information Technology, Yunnan Normal University, Kunming, China[2]Institute for Intelligent Systems Research and Innovation, Deakin University, Victoria, Australia[3]Department of Thoracic Surgery, Yunnan First People ' s Hospital, Kunming, China, China外科片胸外科云南省第一人民医院
出处：
ISSN：
基金：
This research is funded by the
National Natural Science Foundation of China (61650401)
and the National Science Foundation of Yunnan Province
(ZD2014004).
第一作者机构：[1]Yunnan Key Laboratory of Opto- electronic Information Technology, Yunnan Normal University, Kunming, China
通讯作者：
通讯机构：[1]Yunnan Key Laboratory of Opto- electronic Information Technology, Yunnan Normal University, Kunming, China[*1]Junsheng Shi, Yunnan Key Laboratory of Opto- electronic Information Technology, Yunnan Normal University, Kunming, China.
推荐引用方式(GB/T 7714)：
Tai Yonghang,Wei Lei,Peng Jun,et al.AR-based Workflow for PCNL Surgical Planning and Guidance with Intraoperative Data Validation[J].BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY.2019,124:222-222.
APA：
Tai, Yonghang,Wei, Lei,Peng, Jun,Li, Qiong,Huang, Xiaoqiao...&Shi, Junsheng.(2019).AR-based Workflow for PCNL Surgical Planning and Guidance with Intraoperative Data Validation.BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY,124,
MLA：
Tai, Yonghang,et al."AR-based Workflow for PCNL Surgical Planning and Guidance with Intraoperative Data Validation".BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY 124.(2019):222-222
