A semi-supervised pretraining method improves cross-sequence pancreas segmentation Dice from 43.55% to 70.39% (NU) and from 35.62% to 66.61% (IH) on the new PancreasDG benchmark.
Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging, 37(11):2514–2525, 2018
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Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
A semi-supervised pretraining method improves cross-sequence pancreas segmentation Dice from 43.55% to 70.39% (NU) and from 35.62% to 66.61% (IH) on the new PancreasDG benchmark.