CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Guidewire Tip Segmentation with Atrous Convolution
Wu YD(吴玉东)1,3; Xie XL(谢晓亮)1; Bian GB(边桂斌)1; Hou ZG(侯增广)1,2,3; Liu SQ(刘市祺)1
2018
Conference NameInternational Engineering in Medicine and Biology Conference
Conference Date2018
Conference Place美国夏威夷
Abstract

Segmentation of the guidewire tip in 2D X-ray image of percutaneous coronary intervention is a prerequisite for clinic applications, but also challenging for the tiny structure, large deformations and few texture features of the tip. In this paper, tip segmentation based on encoder-decoder convolutional neural networks with different receptive fields is explored, and a median tip distance error of 0.491 pixels, F1 score of 0.982 is obtained by a modified structure with atrous convolution.

Funding ProjectNational Natural Science Foundation of China[61533016] ; National High-Tech Research and Development Plan[2015AA042306]
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23589
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences
2.CAS Center for Excellence in Brain Science and Intelligence Technology
3.University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wu YD,Xie XL,Bian GB,et al. Guidewire Tip Segmentation with Atrous Convolution[C],2018.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wu YD(吴玉东)]'s Articles
[Xie XL(谢晓亮)]'s Articles
[Bian GB(边桂斌)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wu YD(吴玉东)]'s Articles
[Xie XL(谢晓亮)]'s Articles
[Bian GB(边桂斌)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wu YD(吴玉东)]'s Articles
[Xie XL(谢晓亮)]'s Articles
[Bian GB(边桂斌)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.