Continuum robots provide inherent structural compliance with high dexterity to access the
surgical target sites along tortuous anatomical paths under constrained environments and …

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

Contemporary endoscopic simultaneous localization and map** (SLAM) methods
accurately compute endoscope poses; however, they only provide a sparse 3-D …

Abstract Background and objective: While Minimally Invasive Surgery (MIS) offers
considerable benefits to patients, it also imposes big challenges on a surgeon's …

Objective Understanding the three-dimensional (3D) spatial position and orientation of
vessels and tumor (s) is vital in laparoscopic liver resection procedures. Augmented reality …

Endoscopic procedures form part of routine clinical practice for minimally invasive
examinations and interventions. While they are beneficial for the patient, reducing surgical …

Background Image registration lies in the core of augmented reality (AR), which aligns the
virtual scene with the reality. In AR surgical navigation, the performance of image …

Intra-operative imaging techniques for obtaining the shape and morphology of soft-tissue
surfaces in vivo are a key enabling technology for advanced surgical systems. Different …

In computer vision, reference datasets from simulation and real outdoor scenes have been
highly successful in promoting algorithmic development in stereo reconstruction …

Background Learning-based methods have achieved remarkable performances on depth
estimation. However, the premise of most self-learning and unsupervised learning methods …