Medical Image Segmentation Pipeline with Privacy

Create an end-to-end Python pipeline for medical image segmentation using deep learning, specifically designed for CT and MRI scans with built-in privacy preservation. Implement transfer learning with pre-trained models like U-Net, integrate federated learning techniques to train across distributed datasets, and ensure DICOM metadata anonymization. The pipeline should support multi-class segmentation with quantitative accuracy metrics and uncertainty estimation.