Knowledge Commons of Institute of Automation,CAS
Vessel Width Estimation via Convolutional Regression | |
Li, Rui-Qi1,2![]() ![]() ![]() ![]() ![]() ![]() ![]() | |
2021 | |
会议名称 | International Conference on Medical Image Computing and Computer-Assisted Intervention 2021 (MICCAI 2021) |
会议日期 | 9.27-10.1 |
会议地点 | 法国 |
摘要 | Vessel width estimation has a wide range of applications in disease diagnosis and treatment. In this paper, vessel width estimation is cast as a regression problem, and a novel Convolutional Neural Network (CNN) based method is proposed for vessel width estimation. In our CNN-based method, the idea of divide-and-conquer is introduced to solve the challenge of imbalanced training samples. Besides, in order to solve the shortage of training samples required by CNN, a vessel width label generation method is proposed to generate width labels from vessel segmentation labels. In the experiments, we apply our vessel width label generation method and CNN-based width estimation method to two tasks which are retinal vessel width estimation and coronary artery width estimation. Experimental results show that our width label generation method can generate sufficiently realistic width labels using accurate segmentation labels. Also, our CNN-based method can solve the challenge of imbalanced training samples, achieving state-of-the-art performance with less inference time. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 机器人感知与决策 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46609 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Hou, Zeng-Guang |
作者单位 | 1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China. 3.CAS Center for Excellence in Brain Science and Technology, Beijing 100190, China. 4.CAS-MUST Joint Laboratory of Intelligence Science and Technology, Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China. |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Rui-Qi,Bian, Gui-Bin,Zhou, Xiao-Hu,et al. Vessel Width Estimation via Convolutional Regression[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Vessel Width Estimat(839KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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