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 …

Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …

Automatic surgical workflow recognition is a key component for developing context-aware
computer-assisted systems in the operating theatre. Previous works either jointly modeled …

Background Identifying laparoscopic surgical videos using artificial intelligence (AI)
facilitates the automation of several currently time-consuming manual processes, including …

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 …

This paper investigates the automatic monitoring of tool usage during a surgery, with
potential applications in report generation, surgical training and real-time decision support …

Real-time algorithms for automatically recognizing surgical phases are needed to develop
systems that can provide assistance to surgeons, enable better management of operating …

Purpose Surgical workflow recognition and context-aware systems could allow better
decision making and surgical planning by providing the focused information, which may …

Minimally invasive surgery like laparoscopic surgery is an active research area of clinical
practice for less pain and a faster recovery rate. Detection of surgical tools with more …

In the medical field, due to their economic and clinical benefits, there is a growing interest in
minimally invasive surgeries and microscopic surgeries. These types of surgeries are often …