Deep learning in surgical workflow analysis: a review of phase and step recognition
Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …
procedures with statistical models to analyze operations at different semantic levels. This …
SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network
We propose an analysis of surgical videos that is based on a novel recurrent convolutional
network (SV-RCNet), specifically for automatic workflow recognition from surgical videos …
network (SV-RCNet), specifically for automatic workflow recognition from surgical videos …
[HTML][HTML] Lovit: Long video transformer for surgical phase recognition
Online surgical phase recognition plays a significant role towards building contextual tools
that could quantify performance and oversee the execution of surgical workflows. Current …
that could quantify performance and oversee the execution of surgical workflows. Current …
State-of-the-art of situation recognition systems for intraoperative procedures
D Junger, SM Frommer, O Burgert - Medical & Biological Engineering & …, 2022 - Springer
One of the key challenges for automatic assistance is the support of actors in the operating
room depending on the status of the procedure. Therefore, context information collected in …
room depending on the status of the procedure. Therefore, context information collected in …
Automatic data-driven real-time segmentation and recognition of surgical workflow
Purpose With the intention of extending the perception and action of surgical staff inside the
operating room, the medical community has expressed a growing interest towards context …
operating room, the medical community has expressed a growing interest towards context …
Unsupervised trajectory segmentation for surgical gesture recognition in robotic training
Dexterity and procedural knowledge are two critical skills that surgeons need to master to
perform accurate and safe surgical interventions. However, current training systems do not …
perform accurate and safe surgical interventions. However, current training systems do not …
[HTML][HTML] Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos
Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be
highly operator-dependent and difficult to perform, which limits its wider use in clinical …
highly operator-dependent and difficult to perform, which limits its wider use in clinical …
A machine learning method for automated description and workflow analysis of first trimester ultrasound scans
Obstetric ultrasound assessment of fetal anatomy in the first trimester of pregnancy is one of
the less explored fields in obstetric sonography because of the paucity of guidelines on …
the less explored fields in obstetric sonography because of the paucity of guidelines on …
ST-ITEF: Spatio-Temporal Intraoperative Task Estimating Framework to recognize surgical phase and predict instrument path based on multi-object tracking in …
X Feng, X Zhang, X Shi, L Li, S Wang - Medical Image Analysis, 2024 - Elsevier
Computer-assisted cognition guidance for surgical robotics by computer vision is a potential
future outcome, which could facilitate the surgery for both operation accuracy and autonomy …
future outcome, which could facilitate the surgery for both operation accuracy and autonomy …
Assistive system based on nerve detection and needle navigation in ultrasound images for regional anesthesia
O Hadjerci, A Hafiane, N Morette, C Novales… - Expert Systems with …, 2016 - Elsevier
Abstract The development of Ultrasound-Guided Regional Anesthesia (UGRA) is of great
help to practitioners of regional anesthesia as it enables real time visualization of the …
help to practitioners of regional anesthesia as it enables real time visualization of the …