Medical image segmentation

SFJD-Net: spatial-frequency domain joint feature enhancement with differential learning for brain stroke segmentation
Brain stroke is a major cause of disability and death, and accurate lesion segmentation is essential for early diagnosis and treatment …
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SFJD-Net: spatial-frequency domain joint feature enhancement with differential learning for brain stroke segmentation
TS-Net: Trans-Scale Network for Medical Image Segmentation
Accurate medical image segmentation is crucial for clinical diagnosis and disease treatment. However, there are still great challenges …
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TS-Net: Trans-Scale Network for Medical Image Segmentation
MDANet: Multimodal difference aware network for brain stroke segmentation
Stroke segmentation has great significance for clinical diagnosis and timely treatment. Medical images of strokes often come in the …
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MDANet: Multimodal difference aware network for brain stroke segmentation
MESTrans: Multi-scale embedding spatial transformer for medical image segmentation
Transformers profiting from global information modeling derived from the self-attention mechanism have recently achieved remarkable …
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MESTrans: Multi-scale embedding spatial transformer for medical image segmentation