24 citations · 24 across the 1 of their papers we have counts for
7 papers
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
Chen-Chen Fan, Haiqun Xie, Liang Peng +8
Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effec…
Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling
Shuangyi Wang, Kehao Wang, Hongbin Liu +1
Nasopharyngeal (NP) swab sampling is an effective approach for the diagnosis of coronavirus disease 2019 (COVID-19). Medical staffs carrying out the task of collecting NP specimens…
Robust Medical Instrument Segmentation Challenge 2019
Tobias Ross, Annika Reinke, Peter M. Full +47
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang +5
Surgical instrument segmentation is extremely important for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illuminati…
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou +6
Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, accurate segmentation of cataract surgical instruments is still a challenge d…
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
Zhen-Liang Ni, Gui-Bin Bian, Zeng-Guang Hou +3
The real-time segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, it is still a challenging task to implement deep learning models to do r…