Convolutional Neural Network based on Temporal Pose Features for Surgical Procedure Recognition-Reference-Cited by-同舟云学术

Convolutional Neural Network based on Temporal Pose Features for Surgical Procedure Recognition

Published:2021-03-16 Issue:0 Volume:2021 Page:60-64
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Kishi Shota¹,Suzuki Nozomu²,Tsuyuki Shota²,Kurita Takio³,Miyawaki Fujio²,Hidaka Akinori²

Affiliation:

1. Graduate School of Science and Engineering, Tokyo Denki University

2. School of Science and Engineering, Tokyo Denki University

3. The Graduate School of Advanced Science and Engineering, Hiroshima University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2021/0/2021_60/_pdf

Reference12 articles.

1. [1] F. Miyawaki et al., "Scrub Nurse Robot System - Intraoperative Motion Analysis of a Scrub Nurse and Timed Automata Based Model for Surgery", IEEE Transaction on Industrial Electronics, vol.52 (5): pp.1227-1235, 2005.

2. [2] F. Miyawaki et al., "Development of Real-time Acquisition System of Intraoperative Information on Use of Surgical Instruments for Scrub Nurse Robot", Proc. of the 18^th IFAC World Congress, pp.9458-9463, 2011.

3. [3] K. Ohnuma et al., "Development and assessment of real-time visual recognition system for scrub nurse robot", International Journal of Assistive Robotics and Mechatronics, vol.8, pp.14-24, 2007.

4. [4] K. Yoshimitsu et al., "Prototype development of scrub nurse robot for laparoscopic surgery", Proceedings of Computer Assisted Radiology and Surgery, pp.845-850, 2005.

5. [5] K. Yoshimitsu, et al., "Development and evaluation of the second version of scrub nurse robot (SNR) for endoscopic and laparoscopic surgery", Proceedings of Intelligent Robots and Systems, pp.2288-2294, 2007.

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