Search Results for author:
Found 5 papers, 3 papers with code
Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation
Methods: We propose a pipeline for automated subglottic stenosis severity estimation during the bronchoscopy exploration, without requiring the physician to traverse the stenosed region.
Sim2Real in endoscopy segmentation with a novel structure aware image translation
In particular, we demonstrate our approach for the task of fold segmentation in colonoscopy images.
EndoMapper dataset of complete calibrated endoscopy procedures
Computer-assisted systems are becoming broadly used in medicine.
Medical Image Retrieval
Simultaneous Localization and Mapping
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions
Besides, we propose a learning-based approach that aligns the distribution of the semantic classes of the target domain to the source domain.
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
Fast and efficient semantic segmentation methods are needed to match the strong computational and temporal restrictions of many of these real-world applications.
Ranked #1 on
Real-Time 3D Semantic Segmentation
on SemanticKITTI
