Title | Autonomous Trajectory Planning for Ultrasound-Guided Real-Time Tracking of Suspicious Breast Tumor Targets |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1558-3783
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Volume | PPIssue:99Pages:1-16 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | Others
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10091133 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/527466 |
Department | Department of Mechanical and Energy Engineering |
Affiliation | 1.School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China 2.Guangdong Medical Rehabilitation Intelligent System Engineering Technology Research Center, Shenzhen, China 3.Department of Mechanical and Energy Engineering, Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems and the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, China |
Recommended Citation GB/T 7714 |
Jiyong Tan,Jiawang Li,Yuanwei Li,et al. Autonomous Trajectory Planning for Ultrasound-Guided Real-Time Tracking of Suspicious Breast Tumor Targets[J]. IEEE Transactions on Automation Science and Engineering,2023,PP(99):1-16.
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APA |
Jiyong Tan.,Jiawang Li.,Yuanwei Li.,Bing Li.,Yuquan Leng.,...&Chenglong Fu.(2023).Autonomous Trajectory Planning for Ultrasound-Guided Real-Time Tracking of Suspicious Breast Tumor Targets.IEEE Transactions on Automation Science and Engineering,PP(99),1-16.
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MLA |
Jiyong Tan,et al."Autonomous Trajectory Planning for Ultrasound-Guided Real-Time Tracking of Suspicious Breast Tumor Targets".IEEE Transactions on Automation Science and Engineering PP.99(2023):1-16.
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