UniSPAC: A Unified Segmentation Framework for Proofreading and Annotation in Connectomics

Abstract excerpt

Reconstructing dense neuronal connections from volume electron microscopy (vEM) images is a critical challenge in neuroscience, driving the development of various automatic neuron segmentation methods. Although current state-of-the-art automated segmentation methods can achieve high segmentation accuracy, they still require substantial manual proofreading and rely heavily on labeled datasets, which are often scarc...

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• Caenorhabditis elegans
• Deep Learning
• Image Processing, Computer-Assisted
• Lipid Droplets
• Microtubules
• Mutation
• Neural Networks, Computer
• tau Proteins

Identifiers and source

Literature Corpus work

094463db-8365-5cc9-805c-4b3b7183f165

DOI

10.1101/2024.11.27.625336