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 …

The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

Recently, self-supervised learning technology has been applied to calculate depth and ego-
motion from monocular videos, achieving remarkable performance in autonomous driving …

Screening colonoscopy is an important clinical application for several 3D computer vision
techniques, including depth estimation, surface reconstruction, and missing region …

Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes
increasingly popular in recent years. One of the major drawbacks of this technology is that it …

Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most
research focuses on the automatic detection of polyps or other pathologies, but localization …

In the last decade, numerous supervised deep learning approaches have been proposed for
visual–inertial odometry (VIO) and depth map estimation, which require large amounts of …

We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for
Video Capsule Endoscopy. It is being virtually organized by the Research Center for …

Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …