Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 9, 2025Open Access

Pixel Embedding Method for Tubular Neurite Segmentation

View Full Paper
Ask AI
Bookmark
Share

Authors

HFHuayu FuJLJiamin LiHQHuaijing Qu

Discussion

Loading...

Member takes

Overview

This research reveals improved neuronal segmentation in neuroimaging data, suggesting deep learning can enhance accuracy.

Key Points

  • Neurite segmentation accuracy improves due to a novel pixel embedding method, leading to more precise neuron annotations.
  • Our approach reduces segmentation error rate significantly, outperforming classical segmentation methods through enhanced neural networks.
  • This method utilizes deep learning networks to produce pixel-level embeddings, essential for resolving occlusions in neuronal branches.
  • The proposed topological evaluation metric provides a better assessment of segmentation quality compared to existing methods.

Cite This Study

Fu et al. (2025) studied this question.

synapsesocial.com/papers/68e70db790569dd607ee6809https://doi.org/10.48550/arxiv.2507.23359
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A modular framework for multi-scale tissue imaging and neuronal segmentation2024 · 10 citations
  2. 2Topology-Aware Segmentation for Tubular Structure in 3D Microscopy2026
  3. 3A hierarchically annotated dataset drives tangled filament recognition in digital neuron reconstruction2024 · 5 citations
  4. 4SegAnyNeuron: a neural image segmentation network with strong generalization performance by modeling image intensity variation2026
  5. 5Brain Image Segmentation for Ultrascale Neuron Reconstruction via an Adaptive Dual-Task Learning Network2024 · 5 citations