The trend to video documentation in minimally invasive surgery demands for effective and
expressive semantic content understanding in order to automatically organize huge and …

Purpose Surgical data science is a new research field that aims to observe all aspects of the
patient treatment process in order to provide the right assistance at the right time. Due to the …

Deep-learning algorithms typically fall within the domain of supervised artificial intelligence
and are designed to “learn” from annotated data. Deep-learning models require large …

As the field of deep learning continues to expand, it has become increasingly apparent that
large volumes of data are needed to train algorithms effectively. This is particularly …

Abstract Probably yes.—Supervised Deep Learning dominates performance scores for
many computer vision tasks and defines the state-of-the-art. However, medical image …

Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-
time during diagnostic and therapeutic procedures. High operator dependency and low …

Surgical tool detection is attracting increasing attention from the medical image analysis
community. The goal generally is not to precisely locate tools in images, but rather to …

The automated recognition of surgical instruments in surgical videos is an essential factor for
the evaluation and analysis of surgery. The analysis of surgical instrument localization …

Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Surgical tool localization is an essential task for the automatic analysis of endoscopic
videos. In the literature, existing methods for tool localization, tracking and segmentation …