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Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:324/71  |  提交时间:2020/03/30
blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates  
无权访问的条目 期刊论文
作者:  Zhou XH(周小虎);  Bian GB(边桂彬);  Xie XL(谢晓亮);  Hou ZG(侯增广);  Li RQ(李芮麒);  Zhou YJ(周彦捷)
Adobe PDF(14620Kb)  |  收藏  |  浏览/下载:57/16  |  提交时间:2019/06/28
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Prasong Pusit;  Xiaoliang,Xie;  Zeng-Guang Hou
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:215/60  |  提交时间:2020/11/05
image sequences  blood vessels  video signal processing  object detection