Knowledge Commons of Institute of Automation,CAS
CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction Angiography | |
Li, Rui-Qi1,2; Bian, Gui-Bin1,2; Zhou, Xiao-Hu1,2; Xie, Xiao-Liang1,2; Ni, Zhen-Liang1,2; Hou, Zeng-Guang1,2,3,4 | |
2020 | |
会议名称 | International Conference on Neural Information Processing 2020 (ICONIP 2020) |
会议日期 | 11.18-11.22 |
会议地点 | 泰国 |
摘要 | Coronary artery analysis plays an important role in the diagnosis and treatment of coronary heart disease. Coronary artery segmentation, as an important part of quantitative research on coronary heart disease, has become the main topic in coronary artery analysis. In this paper, a deep convolutional neural network (CNN) based method called Coronary Artery U-net(CAU-net) is proposed for the automatic segmentation of coronary arteries in digital subtraction angiography (DSA) images. CAU-net is a variant of U-net. Based on the observation that coronary arteries are composed of many vessels with the same appearance but different thicknesses, a novel multi-scale feature fusion method is proposed in CAU-net. Besides, a new dataset is proposed to solve the problem of no available public dataset on coronary arteries segmentation, which is also one of our contributions. Our dataset contains 538 image samples, which is relatively large compared with the public datasets of other vessel segmentation tasks. In our dataset, a new labeling method is applied to ensure the purity of the labeling samples. From the experimental results, we prove that CAU-net can make significant improvements compared with the vanilla U-net, and achieve the state-of-the-art performance compared with other traditional segmentation methods and deep learning methods. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 多模态智能 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46608 |
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. CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction Angiography[C],2020. |
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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 | ||
CAU-net A Novel Conv(1478KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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