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Chinese Academy of Sciences, University of Chinese Academy of Sciences
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NeuroRefiner's multi-agent approach achieves a 3.02% boost in segmentation accuracy, setting a new benchmark for neuron morphology challenges in microscopy.
Reducing manual proofreading time by over 33% while achieving superior neuron tracing accuracy could revolutionize the analysis of large-scale neural connectivity maps.
SkelEM achieves high-fidelity detail restoration in volume microscopy in under five steps, outperforming existing self-supervised methods.
