Zobrazeno 1 - 10 of 1 093 pro vyhledávání: '"NG, Chi Fai"'
1
Report
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery
Autor: Li, Bin, Wei, Ruofeng, Xu, Jiaqi, Lu, Bo, Yee, Chi-Hang, Ng, Chi-Fai, Heng, Pheng-Ann, Dou, Qi, Liu, Yun-Hui
Automatic laparoscope motion control is fundamentally important for surgeons to efficiently perform operations. However, its traditional control methods based on tool tracking without considering information hidden in surgical scenes are not intellig
Externí odkaz: http://arxiv.org/abs/2204.03195
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6
Report
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
Autor: Long, Yonghao, Li, Zhaoshuo, Yee, Chi Hang, Ng, Chi Fai, Taylor, Russell H., Unberath, Mathias, Dou, Qi
Reconstructing the scene of robotic surgery from the stereo endoscopic video is an important and promising topic in surgical data science, which potentially supports many applications such as surgical visual perception, robotic surgery education and
Externí odkaz: http://arxiv.org/abs/2107.00229
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7
Report
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
Autor: Zhao, Zixu, Jin, Yueming, Lu, Bo, Ng, Chi-Fai, Dou, Qi, Liu, Yun-Hui, Heng, Pheng-Ann
Surgical instrument segmentation in robot-assisted surgery (RAS) - especially that using learning-based models - relies on the assumption that training and testing videos are sampled from the same domain. However, it is impractical and expensive to c
Externí odkaz: http://arxiv.org/abs/2103.12988
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10
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Plný text Recenzováno Digitální knihovna AV ČR
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