Multi-modal co-learning with attention mechanism for head and neck tumor segmentation on 18 FDG PET-CT.

The proposed network segmented the complex shape of the tumor better than the state-of-the-art medical image segmentation methods, accurately distinguishing between tumor and non-tumor regions.