In this paper, we propose a novel text promptable surgical instrument segmentation
approach to overcome challenges associated with diversity and differentiation of surgical …

Laparoscopic video tracking primarily focuses on two target types: surgical instruments and
anatomy. The former could be used for skill assessment, while the latter is necessary for the …

Surgical instrument segmentation (SIS) on endoscopic images stands as a long-standing
and essential task in the context of computer-assisted interventions for boosting minimally …

Semantic segmentation aims at classifying image pixels according to given categories.
Deep learning approaches have proven to be very effective for this task. However …

This article addresses the semantic segmentation of laparoscopic surgery images, placing
special emphasis on the segmentation of structures with a smaller number of observations …

The task of segmentation is integral to computer‐aided surgery systems. Given the privacy
concerns associated with medical data, collecting a large amount of annotated data for …

Esophageal cancer is among the most common types of cancer worldwide. It is traditionally
treated using open esophagectomy, but in recent years, robot-assisted minimally invasive …

Real time surgical video semantic segmentation requires accurate per-frame performance,
inter-frame temporal consistency and high inference speeds. Additionally surgical guidance …