Real-Time Suture Thread Detection with an Image Classifier

Kyotaro Horio; Kanako Harada; Jun Muto; Hirofumi Nakatomi; Nobuhito Saito; Akio Morita; Eiju Watanabe; Mamoru Mitsuishi

doi:10.20965/jrm.2022.p1245

Real-Time Suture Thread Detection with an Image Classifier

Kyotaro Horio, Kanako Harada, Jun Muto, Hirofumi Nakatomi, Nobuhito Saito, Akio Morita, Eiju Watanabe, Mamoru Mitsuishi

Research output: Contribution to journal › Article › peer-review

Abstract

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 inter-section over union (IOU) of 66.08% at 34.50 fps.

Original language	English
Pages (from-to)	1245-1252
Number of pages	8
Journal	Journal of Robotics and Mechatronics
Volume	34
Issue number	6
DOIs	https://doi.org/10.20965/jrm.2022.p1245
Publication status	Published - 12-2022
Externally published	Yes

All Science Journal Classification (ASJC) codes

General Computer Science
Electrical and Electronic Engineering

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10.20965/jrm.2022.p1245

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title = "Real-Time Suture Thread Detection with an Image Classifier",

abstract = "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 inter-section over union (IOU) of 66.08% at 34.50 fps.",

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author = "Kyotaro Horio and Kanako Harada and Jun Muto and Hirofumi Nakatomi and Nobuhito Saito and Akio Morita and Eiju Watanabe and Mamoru Mitsuishi",

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AU - Horio, Kyotaro

AU - Harada, Kanako

AU - Muto, Jun

AU - Nakatomi, Hirofumi

AU - Saito, Nobuhito

AU - Morita, Akio

AU - Watanabe, Eiju

AU - Mitsuishi, Mamoru

N1 - Publisher Copyright: © Fuji Technology Press Ltd.

PY - 2022/12

Y1 - 2022/12

N2 - 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 inter-section over union (IOU) of 66.08% at 34.50 fps.

AB - 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 inter-section over union (IOU) of 66.08% at 34.50 fps.

KW - deep learning

KW - object detection

KW - surgical robot

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Real-Time Suture Thread Detection with an Image Classifier

Abstract

All Science Journal Classification (ASJC) codes

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