Sequential vessel segmentation via deep channel attention network.

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第一作者： Dongdong,Hao

第一单位： School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

作者： Dongdong,Hao ^[1] ; Song,Ding ^[2] ; Linwei,Qiu ^[3] ; Yisong,Lv ^[4] ; Baowei,Fei ^[5] ; Yueqi,Zhu ^[6] ; Binjie,Qin ^[7]

作者单位： School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. ^[1] Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China. ^[2] School of Astronautics, Beihang University, Beijing 100191, China. ^[3] School of Continuing Education, Shanghai Jiao Tong University, Shanghai 200240, China. ^[4] Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA. ^[5] Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, 600 Yi Shan Road, Shanghai 200233, China. ^[6] School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: bjqin@sjtu.edu.cn. ^[7]

关键词 Channel attention blocks Class imbalance Deep learning Vessel segmentation X-ray coronary angiography temporal–spatial features

主题词算法(Algorithms);伪迹(Artifacts);注意力(Attention);冠状血管造影术(Coronary Angiography);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1016/j.neunet.2020.05.005

PMID 32447262

发布时间 2021-12-21

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