Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

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

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 …

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an
effective screening technique, navigating an endoscope through the colon to detect polyps …

Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online
visualization are critical for intrabody medical imaging devices such as endoscopes and …

Single-view depth estimation can be remarkably effective if there is enough ground-truth
depth data for supervised training. However, there are scenarios, especially in medicine in …

Visual SLAM inside the human body will open the way to computer-assisted navigation in
endoscopy. However, due to space limitations, medical endoscopes only provide monocular …

Minimally-invasive surgery (MIS) and robot-assisted minimally invasive (RAMIS) surgery
offer well-documented benefits to patients such as reduced post-operative pain and shorter …

The self-supervised monocular depth estimation framework is well-suited for medical
images that lack ground-truth depth, such as those from digestive endoscopes, facilitating …