Image Segmentation of Throat Swab Sampling Based on Mask R-CNN
文献类型：会议论文
| 作者 | Xu XB(徐新兵)1,2,5 ; Yang YM(杨永明1,4,5; Zhou YY(周圆圆)1,4,5; Cui HQ(崔唤琦)1,2,5; Li SQ(李少强)3; Guo WL(郭文亮)3; Li SY(李时悦)3; Liu H(刘浩)1,2,4,5
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| 出版日期 | 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 |
| 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.State Key Laboratory of Robotics,Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China 2.School of Information Science and Engineering, Northeastern University ,Shenyang, China 3.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 4.Key Laboratory of Minimally Invasive Surgical Robot, Liaoning Province,Shenyang, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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