A Fast Unsupervised Approach for Multi-Modality Surgical Trajectory Segmentation

A Fast Unsupervised Approach for Multi-Modality Surgical Trajectory Segmentation

To improve the efficiency of surgical trajectory segmentation for surgical assessment and robot learning in robot-assisted minimally invasive surgery, this paper presents a fast unsupervised method using video and kinematic data, followed by a promoting procedure to address the over-segmentation iss...

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Bibliographic Details
Main Authors: Hongfa Zhao, Jiexin Xie, Zhenzhou Shao, Ying Qu, Yong Guan, Jindong Tan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Robot-assisted minimally invasive surgery
multi-modality trajectory segmentation
unsupervised deep learning
post-merger processing
Online Access:https://ieeexplore.ieee.org/document/8476566/

Internet

https://ieeexplore.ieee.org/document/8476566/

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