Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

This article establishes a comprehensive review of all the different methods proposed by the
literature concerning augmented reality in intra-abdominal minimally invasive surgery (also …

The primary method of endoscopic image mosaics seamlessly mosaics several continuous
and overlapping endoscopic images to have a broader vision and clearer images. The key …

This survey gives an overview over different techniques used for pixel-level semantic
segmentation. Metrics and datasets for the evaluation of segmentation algorithms and …

One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

Real-time simultaneous localization and dense mapping is very helpful for providing virtual
reality and augmented reality for surgeons or even surgical robots. In this letter, we propose …

Detecting tools in surgical videos is an important ingredient for context-aware computer-
assisted surgical systems. To this end, we present a new surgical tool detection dataset and …

As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Surgical robots rely on robust and efficient computer vision algorithms to be able to
intervene in real-time. The main problem, however, is that the training or testing of such …

Purpose In surgical navigation, pre-operative organ models are presented to surgeons
during the intervention to help them in efficiently finding their target. In the case of soft tissue …