Yikai Huang

Spatial-SAM: Spatially Consistent 3D Electron Microscopy Segmentation with SDF Memory and Semi-Supervised Learning

Segment Anything Model (SAM)-based approaches have shown strong potential for biomedical image segmentation. However, these methods often struggle to preserve spatial consistency in 3D electron microscopy (3D-EM) data and still require extensive manual annotation. We propose Spatial-SAM, a spatially