mlsanityData to 7 Oct 2026

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

arXiv 2210.09309 ↗First posted 18 Oct 2022eess.IV cs.CV cs.LGcited by 10

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Abstract (arXiv)

Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccessible to communities, or focus on rib segmentation that neglects the clinical significance of rib labeling. To address these issues, we extend our prior dataset (RibSeg) on the binary rib segmentation task to a comprehensive benchmark, named RibSeg v2, with 660 CT scans (15,466 individual ribs in total) and annotations manually inspected by experts for rib labeling and anatomical centerline extraction. Based on the RibSeg v2, we develop a pipeline including deep learning-based methods for rib labeling, and a skeletonization-based method for centerline extraction. To improve computational efficiency, we propose a sparse point cloud representation of CT scans and compare it with standard dense voxel grids. Moreover, we design and analyze evaluation metrics to address the key challenges of each task. Our dataset, code, and model are available online to facilitate open research at https://github.com/M3DV/RibSeg

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 27 of its 79 references that are in the map. First posted on arXiv 18 Oct 2022.

Builds on

27 of 79 references.

References · 27

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15 more
  1. 2019Point-Voxel CNN for Efficient 3D Deep Learningcited by 343
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  10. 2021RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scanscited by 21
  11. 2020A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identificationcited by 20
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 4; 2025: 2; 2026: 2.

10 papers.

  1. 2023MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Visioncited by 31
  2. 2024Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challengecited by 14
  3. 2023Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fieldscited by 6
  4. 2024Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmarkcited by 1
  5. 2025Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohortcited by 1
  6. 2025RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scanscited by 1
  7. 2024Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structurescited by 0
  8. 2024Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentationcited by 0
  9. 2026Bonnet: Ultra-fast whole-body bone segmentation from CT scanscited by 0
  10. 2026CTSpinoPelvic1K: spine, pelvis, ribs and femora in one coordinate frame, annotated for lumbosacral transitional anatomycited by 0