Real-Time Suture Thread Detection with an Image Classifier

被引:0
|
作者
Horio, Kyotaro [1 ]
Harada, Kanako [1 ]
Muto, Jun [2 ]
Nakatomi, Hirofumi [3 ]
Saito, Nobuhito [3 ]
Morita, Akio [4 ]
Watanabe, Eiju [5 ]
Mitsuishi, Mamoru [1 ]
机构
[1] Univ Tokyo, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan
[2] Fujita Hlth Univ Hosp, 1-98 Dengakugakubo,Kutsukake Cho, Toyoake, Aichi 4701192, Japan
[3] Univ Tokyo Hosp, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138655, Japan
[4] Nippon Med Sch, Bunkyo Ku, 1-1-5 Sendagi, Tokyo 1138602, Japan
[5] Jichi Med Sch Hosp, 3311-1 Yakushiji, Shimotsuke, Tochigi 3290498, Japan
关键词
surgical robot; deep learning; object detection; ROBOT;
D O I
10.20965/jrm.2022.p1245
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Micro-anastomosis is considered to be a difficult task even for skilled surgeons. Our group has developed a surgical robotic system to assist surgeons. Going further, the detection of surgically relevant objects in the microscopic view is indispensable for the automation or semi-automation of the system. This paper proposes a novel surgical thread detector inspired by an automatic crack detection method. The proposed method achieved a Dice score of 76.30% and an intersection over union (IOU) of 66.08% at 34.50 fps.
引用
收藏
页码:1245 / 1252
页数:8
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