Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression
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Abstract (arXiv)
Correct evaluation and treatment of Scoliosis require accurate estimation of spinal curvature. Current gold standard is to manually estimate Cobb Angles in spinal X-ray images which is time consuming and has high inter-rater variability. We propose an automatic method with a novel framework that first detects vertebrae as objects followed by a landmark detector that estimates the 4 landmark corners of each vertebra separately. Cobb Angles are calculated using the slope of each vertebra obtained from the predicted landmarks. For inference on test data, we perform pre and post processings that include cropping, outlier rejection and smoothing of the predicted landmarks. The results were assessed in AASCE MICCAI challenge 2019 which showed a promise with a SMAPE score of 25.69 on the challenge test set.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Oct 2019.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 4; 2025: 1.
8 papers.
- 2022Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentationcited by 1
- 2022Scoliosis Detection using Deep Neural Networkcited by 0
- 2023VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Raycited by 0
- 2024Deep learning automates Cobb angle measurement compared with multi-expert observerscited by 0
- 2024GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentationcited by 0
- 2024Spine Vision X-Ray Image based GUI Planning of Pedicle Screws Using Enhanced YOLOv5 for Vertebrae Segmentationcited by 0
- 2024CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimationcited by 0
- 2025Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spinecited by 0
- 2025Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine20 Aug 2025
- 2024CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimation19 Nov 2024
- 2024Spine Vision X-Ray Image based GUI Planning of Pedicle Screws Using Enhanced YOLOv5 for Vertebrae Segmentation11 Jul 2024
- 2024GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation11 Jul 2024
- 2024Deep learning automates Cobb angle measurement compared with multi-expert observers18 Mar 2024
- 2023VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray7 Feb 2023
- 2022Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation25 Nov 2022
- 2022Scoliosis Detection using Deep Neural Network31 Oct 2022