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    ARTICLE

    Soft Tissue Feature Tracking Based on Deep Matching Network

    Siyu Lu1, Shan Liu1, Pengfei Hou1, Bo Yang1, Mingzhe Liu2,*, Lirong Yin3, Wenfeng Zheng1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 363-379, 2023, DOI:10.32604/cmes.2023.025217

    Abstract Research in the field of medical image is an important part of the medical robot to operate human organs. A medical robot is the intersection of multi-disciplinary research fields, in which medical image is an important direction and has achieved fruitful results. In this paper, a method of soft tissue surface feature tracking based on a depth matching network is proposed. This method is described based on the triangular matching algorithm. First, we construct a self-made sample set for training the depth matching network from the first N frames of speckle matching data obtained by the triangle matching algorithm. The… More > Graphic Abstract

    Soft Tissue Feature Tracking Based on Deep Matching Network

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