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Hand-Product Contact Point Detection on Surgical Instruments – A User Evaluation

Ergonomics in Design: The Quarterly of Human Factors Applications, 2019
The interaction of hand tools with the user is crucial and a key factor for his or her performance. In specific medical devices like surgical instruments, it is also important to ensure patient safety, namely, to avoid the risk of a surgical instrument’s being left inside a body. This article investigates the patterns of hand-to-product contact areas
Sampaio, Álvaro M.   +3 more
openaire   +2 more sources

Intra-operative surgical instrument usage detection on a multi-sensor table

International Journal of Computer Assisted Radiology and Surgery, 2014
Automatic detection, classification and recording of operating room (OR) activities in real time during a surgical procedure requires a wide range of sensors to gather information on the activities of the surgeon and staff, the patient, and the OR equipment.
Bernhard, Glaser   +2 more
openaire   +2 more sources

Automatic detection of hemorrhage and surgical instrument in laparoscopic surgery image

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
In this paper, we propose a new method for detecting hemorrhage areas and surgical instruments in robot-assisted laparoscopic surgery images. The proposed scheme utilizes CIELAB information to identify a region of interest (ROI) and segment it. Histogram equalization and Otsu's method are also adopted to compute the detection threshold.
, Kyungmin Jo   +4 more
openaire   +2 more sources

Rapid method for the sensitive detection of protein contamination on surgical instruments

Journal of Hospital Infection, 2006
Hospital sterile service departments (SSDs) currently rely on simple visual confirmation of cleanliness as an assessment of the efficacy of cleaning surgical instruments. The inherent inability to monitor low levels of infectious or proteinaceous contamination on surgical instruments creates the possibility that highly dangerous and robust biological ...
Lipscomb, I.P.   +4 more
openaire   +3 more sources

Surgical instruments position detection system applied on minimally invasive insertion

2012 Pan American Health Care Exchanges, 2012
In this paper, we show the results of a system that detects the surgical instruments applied to minimally invasive surgeries. This system is applied to the insertion of a 5 mm diameter needle inside a testing model; it obtains the 3D position of the needle, the lateral projection of the position and the frontal projection of the position.
C. David Gamino   +2 more
openaire   +1 more source

UK‐YOLOv10: Deep Learning‐Based Detection of Surgical Instruments

The International Journal of Medical Robotics and Computer Assisted Surgery
ABSTRACTBackgroundAccurate detection of surgical instruments is essential for robot‐assisted surgery. Existing methods face challenges in both accuracy and real‐time performance, limiting their clinical applicability.MethodsWe propose UK‐YOLOv10, a novel framework that integrates two innovations: the uni‐fusion attention module (UFAM) for enhanced ...
Li Zhang, Guanqun Guo, Wenjie Wang
openaire   +1 more source

Detection of Surgical Instruments Based on YOLOv5

2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2022
Yifan Zhou, Zhenzhong Liu
openaire   +1 more source

Object Detection of Surgical Instruments for Assistant Robot Surgeon using KNN

2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), 2019
Automatic object recognition is the main key to the auto robot system. As like the eye in humans, object recognition is a system of identification on a computer. With this capability, object recognition can be developed to help facilitate human work from monotonous and repetitive work. In the field of medical, object recognition can be combined with an
Fica Aida Nadhifatul Aini   +2 more
openaire   +1 more source

Surgical Instrument Detection Using RCA-YOLOx Network

2022 16th ICME International Conference on Complex Medical Engineering (CME), 2022
Yang Yue   +5 more
openaire   +1 more source

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