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Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation | |
Zhen-Liang Ni1,2![]() ![]() ![]() ![]() ![]() ![]() | |
发表期刊 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
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2022-02-28 | |
页码 | 1 |
文章类型 | 期刊论文 |
摘要 | Surgical image segmentation is critical for surgical robot control and computer-assisted surgery. In the surgical scene, the local features of objects are highly similar, and the illumination interference is strong, which makes surgical image segmentation challenging. To address the above issues, a bilinear squeeze reasoning network is proposed for surgical image segmentation. In it, the space squeeze reasoning module is proposed, which adopts height pooling and width pooling to squeeze global contexts in the vertical and horizontal directions, respectively. |
关键词 | Surgical Image Segmentation Space Squeeze Reasoning Bilinear Feature Fusion |
DOI | 10.1109/JBHI.2022.3154925 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000819832600036 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48682 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Gui-Bin Bian; Zeng-Guang Hou |
作者单位 | 1.the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.the School of Artificial Intelligence, University of Chinese Academy of Sciences 3.the CAS Center for Excellence in Brain Science and Technology 4.the CAS Center for Excellence in Brain Science and Technology |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhen-Liang Ni,Gui-Bin Bian,Zhen Li,et al. Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2022:1. |
APA | Zhen-Liang Ni,Gui-Bin Bian,Zhen Li,Xiao-Hu Zhou,Rui-Qi Li,&Zeng-Guang Hou.(2022).Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,1. |
MLA | Zhen-Liang Ni,et al."Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022):1. |
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