Detection of Surgical Instruments Based on Synthetic Training Data
Due to a significant shortage of healthcare staff, medical facilities are increasingly challenged by the need to deploy current staff more intensively, which can lead to significant complications for patients and staff.
Leon Wiese +4 more
doaj +3 more sources
Cholecystectomy Surgical Instrument Detection Using Variants of YOLOv8 [PDF]
<p>As algorithms get better at their accuracy and computational efficiency, they invoke curiosity among the affected scientific communities to check if they can benefit from newer versions or not. Computer vision is one such domain that has observed rapid growth in terms of algorithmic advancements.
Muhammad Adil Raja +2 more
+4 more sources
A comparison of two CNN-based instrument detection approaches for automated surgical assistance systems [PDF]
The shortage of operating room technicians has led to a growing demand for automated systems in the OR to maintain the quality of care. Robotic scrub nurse (RSN) systems are increasingly being developed, which perform tasks such as handling instruments ...
Bajraktari Flakë +2 more
doaj +2 more sources
Detection of surgical instruments based on Gaussian kernel [PDF]
Abstract In minimally invasive laparoscopic surgery,it is of practical significance to quickly locate the location and category information of surgical instruments.It can remind medical personnel of irreversible injury caused to patients due to leaving surgical instruments after the operation.In this paper,Gaussian kernel is introduced into ...
Hongren Zhang, Shengsheng Wang
openalex +2 more sources
Can surgical simulation be used to train detection and classification of neural networks? [PDF]
Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition ...
Odysseas Zisimopoulos +7 more
doaj +3 more sources
Real-Time Surgical Problem Detection and Instrument Tracking in Cataract Surgery [PDF]
Surgical skill levels of young ophthalmologists tend to be instinctively judged by ophthalmologists in practice, and hence a stable evaluation is not always made for a single ophthalmologist. Although it has been said that standardizing skill levels presents difficulty as surgical methods vary greatly, approaches based on machine learning seem to be ...
Shoji Morita +4 more
openalex +3 more sources
Highly sensitive rapid fluorescence detection of protein residues on surgical instruments [PDF]
There is a risk of contamination of surgical instruments by nfectious protein residues, in particular, prions which are the agents for Creutzfeldt-Jakob Disease in humans. They are exceptionally resistant to conventional sterilization, therefore it is important to detect their presence as contaminants so that alternative cleaning procedures can be ...
В. И. Ковалев +3 more
+4 more sources
Real-time surgical instrument detection is essential in computer-aided surgery systems for procedure identification, quality maintenance, and operation evaluation.
Yiping Shao, Zhilong Xu, Qicong Zhu
doaj +2 more sources
Evaluation of Sensor Configurations for Robotic Surgical Instruments [PDF]
Designing surgical instruments for robotic-assisted minimally-invasive surgery (RAMIS) is challenging due to constraints on the number and type of sensors imposed by considerations such as space or the need for sterilization.
Jesús M. Gómez-de-Gabriel +1 more
doaj +3 more sources
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions [PDF]
Accepted at MICCAI, 2023.
Saurav Sharma +3 more
openalex +3 more sources

