Self-supervised pre-training based hybrid network for deep gray matter nuclei segmentation
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The accurate segmentation of deep gray matter nuclei is critical for neuropathological research, disease diagnosis and treatment. Existing methods employ the supervised learning training approach, which requires large labeled datasets. It is challenging and ti... ...
