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

Abstract Background and Objective Bronchoscopy is a widely used diagnostic and
therapeutic procedure for respiratory disorders such as infections and tumors. However …

Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality.
However, current vision-based technologies struggle to balance between generalization to …

Modern endoscopy technology has revolutionized minimally invasive surgical procedures
across various medical applications, including gastrointestinal (GI) tract screening, bronchi …

Bronchoscopy is currently the least invasive method for definitively diagnosing lung cancer,
which kills more people in the United States than any other form of cancer. Successfully …

Introduction Bronchoscopy is of great significance in diagnosing and treating respiratory
illness. Using deep learning, a diagnostic system for bronchoscopy images can improve the …

Purpose Navigation guidance is a key requirement for a multitude of lung interventions
using video bronchoscopy. State-of-the-art solutions focus on lung biopsies using …

Interventional bronchoscopy is a minimally invasive procedure used to diagnose and treat
peripheral pulmonary nodules. Bronchoscope navigation is one of the crucial technologies …

Accurate bronchoscope localization is essential for pulmonary interventions, by providing six
degrees of freedom (DOF) in airway navigation. However, the robustness of current vision …

Real-time ego-motion tracking for endoscope is a significant task for efficient navigation and
robotic automation of endoscopy. In this paper, a novel framework is proposed to perform …