Image Segmentation of Throat Swab Sampling Based on Mask R-CNN

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	Image Segmentation of Throat Swab Sampling Based on Mask R-CNN
	Xu XB(徐新兵)1,3,4; Yang YM(杨永明 1,4,5; Zhou YY(周圆圆)1,4,5; Cui HQ(崔唤琦)1,3,4; Li SQ(李少强)2; Guo WL(郭文亮)2; Li SY(李时悦)2; Liu H(刘浩)1,3,4,5
	2020
会议日期	November 6-8, 2031
会议地点	Shanghai, China
关键词	oral cavity throat swab instance segmentation
页码	7451-7455
英文摘要	This study aims to provide a feasibility basis for image processing for automatic throat swab robot sampling. For target segmentation and identification in the oral environment, we use a robust instance segmentation algorithm Mask R-CNN. In order to solve the insufficiency of the data used, we use data augmentation methods based on the original data to increase the available effective data. Experiments have proved that good results have been achieved for the segmentation of the throat swab and the posterior pharyngeal wall.
产权排序	1
会议录	Proceedings - 2020 Chinese Automation Congress, CAC 2020
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-7687-1
WOS记录号	WOS:000678697007104
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28377]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Liu H(刘浩)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China 3.School of Information Science and Engineering, Northeastern University ,Shenyang, China 4.State Key Laboratory of Robotics,Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China 5.Key Laboratory of Minimally Invasive Surgical Robot, Liaoning Province,Shenyang, China
推荐引用方式 GB/T 7714	Xu XB,Yang YM(杨永明,Zhou YY,et al. Image Segmentation of Throat Swab Sampling Based on Mask R-CNN[C]. 见:. Shanghai, China. November 6-8, 2031.