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

Purpose Automated endoscopy video analysis is essential for assisting surgeons during
medical procedures, but it faces challenges due to complex surgical scenes and limited …

Videos are prominent learning materials to prepare surgical trainees before they enter the
operating room (OR). In this work, we explore techniques to enrich the video-based surgery …

Blood vessel and surgical instrument segmentation is a fundamental technique for robot-
assisted surgical navigation. Despite the significant progress in natural image segmentation …

Introduction: Computer vision (CV) has had a transformative impact in biomedical fields such
as radiology, dermatology, and pathology. Its real-world adoption in surgical applications …

Semantic segmentation of laparoscopic images is an important issue for intraoperative
guidance in laparoscopic surgery. However, acquiring and annotating laparoscopic datasets …

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 …

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 …

Deep learning has been used across a large number of computer vision tasks, however
designing the network architectures for each task is time consuming. Neural Architecture …

During minimally invasive surgery, surgeons monitor their actions and the relevant tissue
through a camera. This provides an ideal environment for artificial intelligence (AI) assisted …