Unpaired Multi-Modal Segmentation via Knowledge Distillation
Unpaired Multi-Modal Segmentation via Knowledge Distillation
Multi-modal learning is typically performed with network architectures containing modality-specific layers and shared layers, utilizing co-registered images of different modalities. We propose a novel learning scheme for unpaired cross-modality image segmentation, with a highly compact architecture achieving superior segmentation accuracy. In our method, we heavily reuse network parameters, by sharing …