Showing 6 of 6 projects
A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
A PyTorch framework for efficient 3D semantic and panoptic segmentation using superpoint-based transformer architectures.
A PyTorch-based segmentation toolbox for electron microscopy connectomics, enabling neural structure analysis in 3D volumes.
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
A curated list of academic papers, datasets, and metrics for 3D neurite segmentation in electron microscopy connectomics.
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