mlsanityData to 7 Oct 2026

PointScatter: Point Set Representation for Tubular Structure Extraction

arXiv 2209.05774 ↗First posted 13 Sep 2022cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

This paper explores the point set representation for tubular structure extraction tasks. Compared with the traditional mask representation, the point set representation enjoys its flexibility and representation ability, which would not be restricted by the fixed grid as the mask. Inspired by this, we propose PointScatter, an alternative to the segmentation models for the tubular structure extraction task. PointScatter splits the image into scatter regions and parallelly predicts points for each scatter region. We further propose the greedy-based region-wise bipartite matching algorithm to train the network end-to-end and efficiently. We benchmark the PointScatter on four public tubular datasets, and the extensive experiments on tubular structure segmentation and centerline extraction task demonstrate the effectiveness of our approach. Code is available at https://github.com/zhangzhao2022/pointscatter.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 48 of its 67 references that are in the map. First posted on arXiv 13 Sep 2022.

Builds on

48 of 67 references.

References · 48

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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 2; 2026: 2.

8 papers.

  1. 2023Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentationcited by 83
  2. 2023Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifiercited by 4
  3. 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Imagecited by 4
  4. 2023GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervisioncited by 3
  5. 2025GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphscited by 2
  6. 2024DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authenticationcited by 1
  7. 2026Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentationcited by 0
  8. 2026Clinical Risk-Aware Multi-Level Grading for Coronary Artery Stenosis through Curved Feature Reconstructioncited by 0