mlsanityData to 14 Oct 2026

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge

arXiv 2305.18277 ↗First posted 29 May 2023cs.CV cs.AIcited by 14

Not on the map. Why?

Abstract (arXiv)

Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health. However, developing automated algorithms for teeth analysis presents significant challenges due to variations in dental anatomy, imaging protocols, and limited availability of publicly accessible data. To address these challenges, the 3DTeethSeg'22 challenge was organized in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2022, with a call for algorithms tackling teeth localization, segmentation, and labeling from intraoral 3D scans. A dataset comprising a total of 1800 scans from 900 patients was prepared, and each tooth was individually annotated by a human-machine hybrid algorithm. A total of 6 algorithms were evaluated on this dataset. In this study, we present the evaluation results of the 3DTeethSeg'22 challenge. The 3DTeethSeg'22 challenge code can be accessed at: https://github.com/abenhamadou/3DTeethSeg22_challenge

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 18 of its 49 references that are in the map. First posted on arXiv 29 May 2023.

Builds on

18 of 49 references.

References · 18

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  4. 2017Mask R-CNNcited by 7,277
  5. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  6. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  7. 2017Billion-scale similarity search with GPUscited by 2,497
  8. 2020Point Transformercited by 1,470
  9. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,420
  10. 2021UNETR: Transformers for 3D Medical Image Segmentationcited by 959
  11. 2020PointGroup: Dual-Set Point Grouping for 3D Instance Segmentationcited by 321
  12. 2016CNN-RNN: A Unified Framework for Multi-label Image Classificationcited by 190
6 more
  1. 2022Stratified Transformer for 3D Point Cloud Segmentationcited by 167
  2. 2022Contrastive Boundary Learning for Point Cloud Segmentationcited by 56
  3. 2017A scikit-based Python environment for performing multi-label classificationcited by 24
  4. 2021Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scanscited by 24
  5. 2022DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentationcited by 18
  6. 2022Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentationcited by 7

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 5; 2026: 5.

14 papers.

Sort:

By area:

  1. 2023MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Visioncited by 32
  2. 20253D Dental Model Segmentation with Geometrical Boundary Preservingcited by 7
  3. 2024When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labelscited by 5
  4. 2024AI-Enhanced Virtual Reality in Medicine: A Comprehensive Surveycited by 2
  5. 2024Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledgecited by 2
  6. 2025Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistrycited by 2
  7. 2025Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challengecited by 0
  8. 2025CrownGen: Patient-customized Crown Generation via Point Diffusion Modelcited by 0
  9. 2025SOFTooth: Semantics-Enhanced Order-Aware Fusion for Tooth Instance Segmentationcited by 0
  10. 2026High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representationcited by 0
  11. 2026TCATSeg: A Tooth Center-Wise Attention Network for 3D Dental Model Semantic Segmentationcited by 0
  12. 2026Topology-Constrained Quantized nnUNet for Efficient and Anatomically Accurate 3D Tooth Segmentationcited by 0
2 more
  1. 2026Augmented Equivariant Mesh Networks for Anatomical Segmentationcited by 0
  2. 2026APCReg: Anatomical-Prior-Guided Coarse-to-Fine CBCT--IOS Registration via Multi-View Projection and Reliability-Controlled Residual Correctioncited by 0