A5070374998- Retinal Imaging and Analysis
- Tracheal and airway disorders
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Lattice Boltzmann Simulation Studies
- Advanced Data Storage Technologies
- Nasal Surgery and Airway Studies
- Sinusitis and nasal conditions
- Lung Cancer Diagnosis and Treatment
- Advanced Sensor and Control Systems
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image Fusion Techniques
- Advanced Image Processing Techniques
- Advanced Algorithms and Applications
- Imbalanced Data Classification Techniques
- Advanced Chemical Sensor Technologies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Advanced Vision and Imaging
- Robotics and Sensor-Based Localization
- Advanced Computational Techniques and Applications
- Image Enhancement Techniques
- Digital Imaging for Blood Diseases
Institute of Automation
2024
Chinese Academy of Sciences
2024
Beijing Institute of Technology
2019-2023
Localizing the bronchoscope in real time is essential for ensuring intervention quality. However, most existing methods struggle to balance between speed and generalization. To address these challenges, we present BronchoTrack, an innovative real-time framework accurate branch-level localization, encompassing lumen detection, tracking, airway association.To achieve performance, employ a benchmark lightweight detector efficient detection. We are first introduce multi-object tracking...
Bronchoscopy plays a significant role in the early diagnosis and treatment of lung diseases. This process demands physicians to maneuver flexible endoscope for reaching distal lesions, particularly requiring substantial expertise when examining airways upper lobe. With development artificial intelligence robotics, reinforcement learning (RL) method has been applied manipulation interventional surgical robots. However, unlike human who utilize multimodal information, most current RL methods...
Accurate bronchoscope localization is essential for pulmonary interventions, by providing six degrees of freedom (DOF) in airway navigation. However, the robustness current vision-based methods often compromised clinical practice, and they struggle to perform real-time generalize across cases unseen during training. To overcome these challenges, we propose a novel Probabilistic Airway Navigation System (PANS), leveraging Monte-Carlo method with pose hypotheses likelihoods achieve robust...
Accurate and complete segmentation of airways in chest CT images is essential for the quantitative assessment lung diseases facilitation pulmonary interventional procedures. Although deep learning has led to significant advancements medical image segmentation, maintaining airway continuity remains particularly challenging. This difficulty arises primarily from small dispersed nature structures, as well class imbalance scans. To address these challenges, we designed a Multi-scale Nested...