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Nested-block self-attention for robust radiotherapy planning segmentation
NBSA's segmentations were less variable than multiple 3D methods, including for small organs with low soft-tissue contrast such as the submandibular glands (surface Dice of 0. 90).
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
Our approach, called cross-modality educed deep learning segmentation (CMEDL) combines CT and pseudo MR produced from CT by aligning their features to obtain segmentation on CT.
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