Real-time surgical needle detection using region-based convolutional neural networks

Abstract : Conventional surgical assistance and skill analysis for suturing mostly focus on the motions of the tools. As the quality of the suturing is determined by needle motions relative to the tissues, having knowledge of the needle motion would be useful for surgical assistance and skill analysis. As the first step toward demonstrating the usefulness of the knowledge of the needle motion, we developed a needle detection algorithm.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02280263
Contributor : Laurent Jonchère <>
Submitted on : Friday, September 6, 2019 - 11:04:31 AM
Last modification on : Saturday, September 7, 2019 - 1:22:36 AM

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Atsushi Nakazawa, Kanako Harada, Mamoru Mitsuishi, Pierre Jannin. Real-time surgical needle detection using region-based convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery, 2019, ⟨10.1007/s11548-019-02050-9⟩. ⟨hal-02280263⟩

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