Surgical instrument detection and tracking in orthopaedic surgery using computer vision [PDF]
Abstract The purpose of this study is to establish a methodology to digitalise the instrument tracking und object tracking analysis in orthopaedic surgery and possibly provide insights about surgical procedures by collecting and utilizing spatiotemporal data about the usage of surgical instruments without introducing new and costly equipment ...
Melissa Paraskevaidis +3 more
openalex +2 more sources
A comparative study on the cleaning efficacy of a pulsed vacuum cleaning and disinfection device on rigid endoscopic instruments in a hospital setting [PDF]
ObjectiveGiven the increasing demand for rapid and reliable instrument reprocessing to support surgical schedules and minimize infection risks, this study aims to explore the cleaning efficacy of a pulsed vacuum cleaning and disinfection device on rigid ...
Licong Bo, Xue Wang, Jian Li, Yue Hu
doaj +2 more sources
Instruments Detection and Descriptive Gesture Segmentation on a Robotic Surgical Maneuvers Dataset
Large datasets play a crucial role in the progression of surgical robotics, facilitating advancements in the fields of surgical task recognition and automation. Moreover, public datasets enable the comparative analysis of various algorithms and methodologies, thereby assessing their effectiveness and performance. The ROSMA (Robotics Surgical Maneuvers)
Irene Rivas-Blanco +4 more
openalex +6 more sources
An Embedded System for Classification and Dirt Detection on Surgical Instruments
The need for automation in healthcare has been rising steadily in recent years, both to increase efficiency and for freeing educated workers from repetitive, menial, or even dangerous tasks. This thesis investigates the implementation of two pre-determined and pre-trained convolutional neural networks on an FPGA for the classification and dirt ...
Guðmundur Hallgrímsson
openalex +2 more sources
Real-time automatic detection of gynecological laparoscopic surgical instruments and exploration in surgical skills assessment application: a cross-sectional study. [PDF]
Wei H +12 more
europepmc +2 more sources
Anchor-Free Feature Aggregation Network for Instrument Detection in Endoscopic Surgery
Endoscopic endonasal approach has been widely used for removing various sellae tumors including pituitary adenomas, meningiomas, etc. While, performing these surgeries in such a narrow space with different instruments remains a challenge for surgeons ...
Guanzhi Ding +6 more
doaj +1 more source
The detection of wound infection by ion mobility chemical analysis [PDF]
Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result.
Bechar, Janak +4 more
core +1 more source
Vision-based and marker-less surgical tool detection and tracking: a review of the literature [PDF]
In recent years, tremendous progress has been made in surgical practice for example with Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to-hand manipulation, robotic and computer-assisted systems have been developed ...
Allan, M +3 more
core +1 more source
Video-based assistance system for training in minimally invasive surgery [PDF]
In this paper, the development of an assisting system for laparoscopic surgical training is presented. With this system, we expect to facilitate the training process at the first stages of training in laparoscopic surgery and to contribute to an ...
Blas Pagador, Jose +6 more
core +2 more sources
Biomimetic Incremental Domain Generalization with a Graph Network for Surgical Scene Understanding
Surgical scene understanding is a key barrier for situation-aware robotic surgeries and the associated surgical training. With the presence of domain shifts and the inclusion of new instruments and tissues, learning domain generalization (DG) plays a ...
Lalithkumar Seenivasan +4 more
doaj +1 more source

