| Title | Point Cloud Segmentation of Breast Ultrasound Regions to be Scanned by Fusing 2D Image Instance Segmentation and Keypoint Detection |
| Author | |
| DOI | |
| Publication Years | 2023
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| ISBN | 979-8-3503-0018-5
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| Source Title | |
| Pages | 669-674
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| Conference Date | 8-10 July 2023
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| Conference Place | Sanya, China
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| Keywords | |
| SUSTech Authorship | Others
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| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10218846 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559183 |
| 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, Southern University of Science and Technology, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Jiyong Tan,Hui Qin,Xinxing Chen,et al. Point Cloud Segmentation of Breast Ultrasound Regions to be Scanned by Fusing 2D Image Instance Segmentation and Keypoint Detection[C],2023:669-674.
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| Files in This Item: | There are no files associated with this item. | |||||
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