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CASIA OpenIR
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Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments 会议论文
, Paris, France, 2020.5.31-2020.8.31
作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Zeng-Guang Hou;  Xiao-Hu Zhou;  Xiao-Liang Xie;  Zhen Li
Adobe PDF(1053Kb)  |  收藏  |  浏览/下载：241/65  |  提交时间：2022/06/15
real-time segmentation  attention  surgical instruments  
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments 会议论文
, NewYork USA, 2020.2.7-2020.2.12
作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Guan-An Wang;  Xiao-Hu Zhou;  Zeng-Guang Hou;  Hua-Bin Chen;  Xiao-Liang Xie
Adobe PDF(2118Kb)  |  收藏  |  浏览/下载：242/62  |  提交时间：2022/06/15
surgical instrument segmentation  
Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion 会议论文
, Budapest, Hungary, 2019.07.14-19
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Wu, Yu-Dong;  Liu, Shi-Qi;  Zhou, Xiao-Hu;  Wang, Jia-Xing
Adobe PDF(2076Kb)  |  收藏  |  浏览/下载：259/60  |  提交时间：2022/06/14
A Real-Time Multi-Task Framework for Guidewire Segmentation and Endpoint Localization in Endovascular Interventions 会议论文
, 中国西安, 2021.05.31-06.04
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Wang, Guan-An;  Hou, Zeng-Guang;  Li, Rui-Qi;  Ni, Zhen-Liang;  Fan, Chen-Chen
Adobe PDF(10223Kb)  |  收藏  |  浏览/下载：275/64  |  提交时间：2022/06/14
DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation 会议论文
, 中国成都, 2021.10.20-24
作者:  Zhou, Yan-Jie;  Liu, Shi-Qi;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(2606Kb)  |  收藏  |  浏览/下载：272/57  |  提交时间：2022/06/14
neural networks  instrument segmentation  multi-task learning  
A Real-time Multi-functional Framework for Guidewire Morphological and Positional Analysis in Interventional X-ray Fluoroscopy 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 3, 页码: 657-667
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2854Kb)  |  收藏  |  浏览/下载：355/95  |  提交时间：2020/11/05
Deep learning  Guidewire  X-ray fluoroscopy  Segmentation and localization  Robot-assisted intervention  
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
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载：400/80  |  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