SWDL-Net improves semi-supervised intracranial hemorrhage segmentation by learning from differences between a Laplacian pyramid upsampler and a convolutional upsampler, reaching 89.3% Dice with 2% labeled data.
Swin-unet: Unet-like pure transformer for medical image segmenta- tion,
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SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
SWDL-Net improves semi-supervised intracranial hemorrhage segmentation by learning from differences between a Laplacian pyramid upsampler and a convolutional upsampler, reaching 89.3% Dice with 2% labeled data.