4 papers
Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation
Hongchao Shu, Roger D. Soberanis-Mukul, Hao Ding +5
Accurate vision-based navigation in monocular endoscopy is difficult due to limited depth cues, weak tissue texture, non-rigid deformation, and substantial appearance variation acr…
BronchOpt : Vision-Based Pose Optimization with Fine-Tuned Foundation Models for Accurate Bronchoscopy Navigation
Hongchao Shu, Roger D. Soberanis-Mukul, Jiru Xu +6
Accurate intra-operative localization of the bronchoscope tip relative to patient anatomy remains challenging due to respiratory motion, anatomical variability, and CT-to-body dive…
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
Fei Wu, Pablo Marquez-Neila, Hedyeh Rafi-Tarii +1
Multi-class semantic segmentation remains a cornerstone challenge in computer vision. Yet, dataset creation remains excessively demanding in time and effort, especially for special…
Correlation-aware active learning for surgery video segmentation
Fei Wu, Pablo Marquez-Neila, Mingyi Zheng +2
Semantic segmentation is a complex task that relies heavily on large amounts of annotated image data. However, annotating such data can be time-consuming and resource-intensive, es…