Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation
MICCAI (3), pp. 457-465, 2019.
We propose a novel semi-supervised image segmentation method that simultaneously optimizes a supervised segmentation and an unsupervised reconstruction objectives. The reconstruction objective uses an attention mechanism that separates the reconstruction of image areas corresponding to different classes. The proposed approach was evalua...More
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