Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms

著录项

• 来源
  《Biomedical and Health Informatics, IEEE Journal of》 |2019年第6期|2563-2575|共13页
• 作者

  Song Shuang; Yang Jian; Ai Danni; Du Chenbing; Huang Yong; Song Hong; Zhang Luosha; Han Yechen; Wang Yongtian; Frangi Alejandro F.;

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• 作者单位

  Beijing Inst Technol Sch Opt & Photon Beijing Engn Res Ctr Mixed Real & Adv Display Beijing 100081 Peoples R China;

  Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China;

  Chinese Acad Sci Acad Optoelect Beijing 100081 Peoples R China;

  Peking Union Med Coll Hosp Dept Cardiol Beijing 100730 Peoples R China;

  Univ Leeds Ctr Computat Imaging & Simulat Technol Biomed Sch Comp Leeds LS2 9JT W Yorkshire England|Univ Leeds Sch Med Leeds LS2 9JT W Yorkshire England;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Arteries; Feature extraction; Training; Standards; Image edge detection; Eigenvalues and eigenfunctions; Gabor filters; Learning; adaptive background; enhancement; coronary cineangiography;

  机译：动脉;特征提取;训练;标准;图像边缘检测;特征值和特征函数;Gabor过滤器;学习;适应性背景;增强冠状动脉血管造影;