A multi-task segmentation model learns all, new, and vanishing MS lesions from heterogeneous MRI datasets using anatomical constraints and lesion-aware augmentation.
MICCAI 2021 MSSEG-2 challenge quantitative results,
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SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
A multi-task segmentation model learns all, new, and vanishing MS lesions from heterogeneous MRI datasets using anatomical constraints and lesion-aware augmentation.