X
Xiao-Hu Zhou
Researcher at Chinese Academy of Sciences
Publications - 54
Citations - 422
Xiao-Hu Zhou is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 8, co-authored 53 publications receiving 193 citations.
Papers
More filters
Book ChapterDOI
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni,Gui-Bin Bian,Xiao-Hu Zhou,Zeng-Guang Hou,Xiao-Liang Xie,Chen Wang,Yan-Jie Zhou,Rui-Qi Li,Zhen Li +8 more
TL;DR: In this paper, an attention-guided network is proposed to segment the cataract surgical instrument, which captures global context and encodes semantic dependencies to emphasize key semantic features, boosting the feature representation.
Proceedings ArticleDOI
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
TL;DR: A novel network, Refined Attention Segmentation Network, is proposed to simultaneously segment surgical instruments and identify their categories and the U-shape network which is popular in segmentation is used.
Proceedings ArticleDOI
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
TL;DR: An attention-guided lightweight network (LWANet), which can segment surgical instruments in real-time while takes little computational costs is proposed.
Journal ArticleDOI
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments
Zhen-Liang Ni,Gui-Bin Bian,Guan'an Wang,Xiao-Hu Zhou,Zeng-Guang Hou,Hua-Bin Chen,Xiao-Liang Xie +6 more
TL;DR: A novel network, Pyramid Attention Aggregation Network, is proposed to aggregate multi-scale attentive features for surgical instruments, which learns the shape and size features of surgical instruments in different receptive fields and thus addresses the scale variation issue.
Journal ArticleDOI
Qualitative and Quantitative Assessment of Technical Skills in Percutaneous Coronary Intervention: In Vivo Porcine Studies
TL;DR: The objective, effective, and comprehensive assessment of technical skills can be provided by qualitatively and quantitatively analyzing interventionalists’ natural behaviors in PCI.