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. 1Glancing Beyond Patch: Spatial Contextual Cues for 3D Neuron Segmentation2025 · 2 citations
  2. 2SynSeg: A synthetic data-driven approach for robust subcellular structure segmentation2025 · 1 citations
  3. 3A lightweight network for brain MRI segmentation2025 · 1 citations
  4. 4Deep intelligence: a four-stage deep network for accurate brain tumor segmentation2025 · 2 citations
  5. 5Hybrid Swin Transformer EfficientNet U-Net Model for Enhanced Brain Tumor Segmentation2025 · 1 citations