Federated Cross Learning for Medical Image Segmentation

Mathematics

• Medical Image 100%
• Image Segmentation 92%
• Learning 62%
• Ensemble Learning 36%
• Training 21%
• Identically distributed 18%
• Aggregation 13%
• Performance 12%
• Model 11%
• Model Uncertainty 9%
• Degradation 8%
• Segmentation 8%
• Learning Algorithm 8%
• Server 7%
• Experimental Results 6%
• Theoretical Analysis 6%
• Entire 5%
• Experiment 5%
• Strategy 4%
• Design 4%
• Vertex of a graph 3%

Engineering & Materials Science

• Image segmentation 64%
• Learning systems 34%
• Agglomeration 19%
• Medical applications 12%
• Deep learning 10%
• Learning algorithms 9%
• Servers 8%
• Degradation 7%
• Uncertainty 7%
• Experiments 4%