no code implementations • 1 Jun 2020 • Xiao-Lei Yin, Dong-Xue Liang, Lu Wang, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
With the help of this technology, doctors can significantly reduce exposure frequency and intensity of the X-ray during coronary angiography.
no code implementations • 26 Mar 2020 • Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
This article proposes a new video segmentation framework that can extract the clearest and most comprehensive coronary angiography images from a video sequence, thereby helping physicians to better observe the condition of blood vessels.
no code implementations • 26 Mar 2020 • Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
The reconstruction of three-dimensional models of coronary arteries is of great significance for the localization, evaluation and diagnosis of stenosis and plaque in the arteries, as well as for the assisted navigation of interventional surgery.
no code implementations • 1 Mar 2019 • Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jian-Zeng Dong, Shaochun Li
The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.