Background Machine learning, especially deep learning, is becoming more and more
relevant in research and development in the medical domain. For all the supervised deep …

Video annotation is a tedious task. But especially in medical domain the knowledge of
experts for the interpretation of videos is of high value. Typically medical doctors do not have …

The increasing volume of medical image data, as well as the need for multicenter data
consolidation for big data analytics, require computer-aided medical image annotation …

Purpose Annotation of surgical videos is a time-consuming task which requires specific
knowledge. In this paper, we present and evaluate a deep learning-based method that …

Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …

As the world explores opportunities to develop offshore renewable energy capacity, there
will be a growing need for pre-construction biological surveys and post-construction …

Manually annotating clinical document corpora to generate reference standards for Natural
Language Processing (NLP) systems or Machine Learning (ML) is a timeconsuming and …

With the recent breakthrough success of machine learning based solutions for automatic
image annotation, the availability of reference image annotations for algorithm training is …

In this paper, we present a novel application for elucidating all kind of videos that require
expert knowledge, eg, sport videos, medical videos etc., focusing on endoscopic surgery …

Background and study aims The contribution of artificial intelligence (AI) to endoscopy is
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …