Recent advances in reinforcement learning (RL) have increased the promis...
The semantic segmentation of surgical scenes is a prerequisite for task
...
Semantic image segmentation is an important prerequisite for
context-awa...
Cognitive cooperative assistance in robot-assisted surgery holds the
pot...
PURPOSE: Surgical workflow and skill analysis are key technologies for t...
Common deployment models for Edge Computing are based on (composable)
mi...
Image-based tracking of medical instruments is an integral part of many
...
Intraoperative tracking of laparoscopic instruments is often a prerequis...
The course of surgical procedures is often unpredictable, making it diff...
For many applications in the field of computer assisted surgery, such as...
During laparoscopic surgery, context-aware assistance systems aim to
all...
Surgical data science is a scientific discipline with the objective of
i...
Intraoperative segmentation and tracking of minimally invasive instrumen...
Purpose: Due to the breakthrough successes of deep learning-based soluti...