Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
medical image segmentation   federated learning   semi-supervised learning   knowledge distilling   privacy protection  

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation Background Introduction Medical image segmentation plays a crucial role in clinical diagnosis as it helps doctors identify and analyze diseases. However, this task typically faces challenges such as sensitive data, privacy issues, and expensive annotation costs. W...