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

Background and objective: Gastrointestinal (GI) endoscopy represents a promising tool for
GI cancer screening. However, the limited field of view and uneven skills of endoscopists …

Deep learning techniques hold promise to develop dense topography reconstruction and
pose estimation methods for endoscopic videos. However, currently available datasets do …

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

Estimating a scene reconstruction and the camera motion from in-body videos is challenging
due to several factors, eg the deformation of in-body cavities or the lack of texture. In this …

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

Monocular depth estimation is critical for endoscopists to perform spatial perception and 3D
navigation of surgical sites. However, most of the existing methods ignore the important …

Colonoscopy is the gold standard for pre-cancerous polyps screening and treatment. The
polyp detection rate is highly tied to the percentage of surveyed colonic surface. However …

Colonoscopy is tool of choice for preventing Colorectal Cancer, by detecting and removing
polyps before they become cancerous. However, colonoscopy is hampered by the fact that …

Current capsule endoscopes and next-generation robotic capsules for diagnosis and
treatment of gastrointestinal diseases are complex cyber-physical platforms that must …