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:
https://huggingface.co/datasets/MedOtter/SELMA3D.
