Minimally invasive surgical instrument visual detection and tracking is one of the core
algorithms of minimally invasive surgical robots. With the development of machine vision …

Surgical skills can be improved by continuous surgical training and feedback, thus reducing
adverse outcomes while performing an intervention. With the advent of new technologies …

Abstract Convolutional Neural Networks (CNNs) are gaining significant attention in
applications related to coupled flow and transfer processes in porous media, especially …

Objective Detection and segmentation of surgical instruments is an indispensable
technology in robot-assisted surgery that enables doctors to obtain more comprehensive …

Adapting intelligent context-aware systems (CAS) to future operating rooms (OR) aims to
improve situational awareness and provide surgical decision support systems to medical …

Surgical data science is devoted to enhancing the quality, safety, and efficacy of
interventional healthcare. While the use of powerful machine learning algorithms is …

Image-based surgical phase recognition is a fundamental component for developing context-
aware systems in future operating rooms (ORs) and thus enhance patient outcomes. To …

With the advancement of robot technology, the use of a robot system to control an
endoscope during minimally invasive surgery has evolved significantly. Using a robot …

Laparoscopic surgery also know as minimally invasive surgery (MIS), is a type of surgical
procedure that allows a surgeon to examine the organs inside of the abdomen without …

Temporally locating and classifying instruments in surgical video is useful for the analysis
and comparison of surgical techniques. This paper aims to apply action segmentation …