Search Results for author:
Found 3 papers, 2 papers with code
FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology Segmentation
Federated learning (FL) for histopathology image segmentation involving multiple medical sites plays a crucial role in advancing the field of accurate disease diagnosis and treatment.
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
In this work, we note the specificity of tubular structures and use this knowledge to guide our DSCNet to simultaneously enhance perception in three stages: feature extraction, feature fusion, and loss constraint.
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
To this end, we propose partial vessels annotation (PVA) based on the challenges of coronary artery segmentation and clinical diagnostic characteristics.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
