Artificial intelligence is being increasingly seen as a useful tool in medicine. Specifically,
these technologies have the objective to extract insights from complex datasets that cannot …

Objective: Surgical data science is evolving into a research field that aims to observe
everything occurring within and around the treatment process to provide situation-aware …

Technology has advanced surgery, especially minimally invasive surgery (MIS), including
laparoscopic surgery and robotic surgery. It has led to an increase in the number of …

After the success of the First Deep Learning in Medical Image Analysis (DLMIA) Workshop,
held with MICCAI 2015, where we welcomed hundreds of attendees, we present the …

Surgical tool segmentation in endoscopic videos is an important component of computer
assisted interventions systems. Recent success of image-based solutions using fully …

Organ segmentation, or annotation, is an essential step for a variety of radiologic purposes
such as automated organ detection, automated lesion detection, and radiotherapy …

Artificial intelligence (AI) holds much promise for enabling highly desired imaging
diagnostics improvements. One of the most limiting bottlenecks for the development of useful …

Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology
enabling more thorough examination and treatment of the gastrointestinal tract than …

Deep learning has delivered promising results for automatic polyp detection and
segmentation. However, deep learning is known for being data-hungry, and its performance …

Many recent machine learning approaches used in medical imaging are highly reliant on
large amounts of image and ground truth data. In the context of object segmentation, pixel …