Laparoscopic videos are a very important source of information which is inherently available
in minimally invasive surgeries. Detecting surgical tools based on that videos have gained …

Investigating the relations between surgical actions and physiological reactions of the
patient is essential for developing pre-emptive model-based systems. In this study, the …

Abstract Introduction Minimally Invasive Surgery uses electrosurgical tools that generate
smoke. This smoke reduces the visibility of the surgical site and spreads harmful substances …

Surgical data analysis is crucial for developing and integrating context-aware systems (CAS)
in advanced operating rooms. Automatic detection of surgical tools is an essential …

Laparoscopic surgery consists of many tasks that have to be handled by the surgeon and
the operating room personnel. Recognition of situations where action is required enables …

Laparoscopic image analysis plays a crucial role in surgical workflow, as it enables the
recognition of surgical tools and anatomical structures. While deep learning approaches …

Laparoscopic image analysis plays a crucial role in surgical workflow, as it enables the
recognition of surgical tools and anatomical structures. While deep learning approaches …

Distortions like blur and smoke in real-time laparoscopic videos often result from lens
contamination. Detecting these distortions automatically and" in real time" is a step …

Purpose: In this research, using the Geant4 software toolbox and metamaterials as a
neutron shield, it was tried to introduce the proper metamaterial for this matter. Materials and …

In the process of smoke detection, the brightness and texture are varying in each frame,
which brings interference to the feature extraction and reduces the accuracy of smoke …