Using contrast-enhanced MRI only during training, a multi-task Y-Net improves non-contrast liver vessel segmentation, with the largest gains when annotations are scarce.
An auxiliary modality available only during training improves the segmentation accuracy of a Y- Net model when applied to new data, even if it is not avail- able during test time
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Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training
Using contrast-enhanced MRI only during training, a multi-task Y-Net improves non-contrast liver vessel segmentation, with the largest gains when annotations are scarce.