SELMA3D (annotated patches) – 3D light-sheet microscopy brain segmentation

SELMA3D (annotated patches) SELMA3D — Self-supervised Learning for 3D light-sheet Microscopy image segmentation (MICCAI 2024 challenge; Chen et al., arXiv:2501.03880). 3D light-sheet fluorescence microscopy (LSFM) of cleared brain tissue (DISCO-family clearing), covering four structures with different morphologies: blood vessels, c-Fos⁺ active neurons, cell nuclei, and amyloid-β plaques. This mirror = the public ANNOTATED-PATCHES subset only (89 patches with expert ground-truth… See the full description on the dataset page:

Source: Hugging Face Hub (MedOtter/SELMA3D). Metadata imported from the dataset’s Hub tags.