Federated Cross Learning for Medical Image Segmentation

Keyphrases

• Medical Image Segmentation 100%
• Federated Learning 100%
• Cross-learning 100%
• Learning Methods 60%
• Identically Distributed 60%
• Ensemble Learning 40%
• Model Aggregation 40%
• Clinical Significance 20%
• Publicly Available 20%
• Clinical Application 20%
• Challenging Problems 20%
• Effective Method 20%
• Patient Data 20%
• Performance Degradation 20%
• Medical Image 20%
• Source Code 20%
• Model Uncertainty 20%
• Segmentation Performance 20%
• Training Procedure 20%
• Robin 20%
• Quantitative Estimation 20%
• Global Model 20%
• Local Model 20%
• Learning Algorithm 20%
• Isolated Patients 20%
• Public Dataset 20%
• Deep Learning Model 20%
• Learning Mechanisms 20%
• Training Strategy 20%
• Centralized Learning 20%
• Ensemble Learning Method 20%
• Server Node 20%

Computer Science

• Image Segmentation 100%
• Federated machine learning 100%
• Ensemble Learning 60%
• Experimental Result 20%
• Clinical Application 20%
• Learning Algorithm 20%
• Effective Method 20%
• Segmentation Performance 20%
• Learning Mechanism 20%
• Deep Learning Model 20%
• Performance Degradation 20%
• Model Uncertainty 20%