M-region segmentation of pharyngeal swab image based on improved U-Net Model
文献类型：会议论文
| 作者 | Wang, Yina2; Xu ZC(许泽超)2; Zhao HC(赵怀慈)1 ; Yang JY(杨俊友)2; Wang, Shuoyu3
|
| 出版日期 | 2021 |
| 会议日期 | March 4-6, 2021 |
| 会议地点 | Virtual, Nagoya, Japan |
| 页码 | 186-190 |
| 英文摘要 | The main method to diagnose COVID-19 is a nucleic acid test from a throat swab. Routine manual collection methods expose medical personnel to high-risk environment, which has a high risk of cross-infection. A throat swab sampling robot was developed to take the place of medical staff. The automatic segmentation of M-region in the pharyngeal swab image, which plays a core guiding role when the robot takes a throat swab sample. Aiming at the problem of discontinuous or fuzzy boundary in M -region of oral cavity, the segmentation accuracy is affected. An improved U -Net model is proposed and a new multi-scale feature fusion module with channel attention mechanism is presented. The ability of adaptive learning is enhanced and the segmentation precision of M -region with discontinuous or fuzzy edges is increased. Oral images of 45 volunteers were collected for training and testing. Experimental results showed that the model could accurately segment M-region in pharyngeal swab images, and compared with other segmentation networks, it has better indexes of segmentation precision. |
| 源文献作者 | IEEE Robotics and Automation Society ; Nagoya University |
| 产权排序 | 2 |
| 会议录 | ISR 2021 - 2021 IEEE International Conference on Intelligence and Safety for Robotics
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-3862-9 |
| WOS记录号 | WOS:000678996900043 |
| 源URL | [http://ir.sia.cn/handle/173321/28939]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Wang, Yina |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, ShenYang, China 2.School of Electrical Engineering, Shenyang University of Technology, ShenYang, China 3.School of Systems Engineering, Kochi University of Technology, Kami, Japan |
| 推荐引用方式 GB/T 7714 | Wang, Yina,Xu ZC,Zhao HC,et al. M-region segmentation of pharyngeal swab image based on improved U-Net Model[C]. 见:. Virtual, Nagoya, Japan. March 4-6, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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