Models (1)
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Self-supervised 3D cell segmentation for fluorescence microscopy using WNet3D and Swin-UNetR, achieving supervised-level performance without annotated training data.
Imaging
Self-supervised 3D cell segmentation for fluorescence microscopy using WNet3D and Swin-UNetR, achieving supervised-level performance without annotated training data.