5 papers
NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation
Haiyang Yan, Jinyue Guo, Yanchao Zhang +6
Accurate 3D neuron segmentation in fluorescence microscopy is critical for neuroscience. However, the sparse and elongated morphology of neurons poses significant challenges to exi…
Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification
Liuyun Jiang, Yanchao Zhang, Jinyue Guo +5
Establishing large-scale, high-resolution neural connectivity maps is fundamental to elucidating the structural basis of brain function. However, when processing terabyte- or petab…
HieDG: A Hierarchical Discrete Geometry-Guided Framework for Multi-Animal Tracking
Chenxun Deng, Zhongde Zhang, Ye Yuan +7
Multi-animal tracking (MAT) is critical for wildlife monitoring and behavioral analysis, yet remains challenging due to uniform appearance, high density, and irregular motion. Exis…
NeuroMamba: Multi-Perspective Feature Interaction with Visual Mamba for Neuron Segmentation
Liuyun Jiang, Yizhuo Lu, Yanchao Zhang +2
Neuron segmentation is the cornerstone of reconstructing comprehensive neuronal connectomes, which is essential for deciphering the functional organization of the brain. The irregu…
Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation
Liuyun Jiang, Yanchao Zhang, Jinyue Guo +3
Neuron segmentation in electron microscopy (EM) aims to reconstruct the complete neuronal connectome; however, current deep learning-based methods are limited by their reliance on…