Neural network segmentation of disc volume from magnetic resonance images and the effect of degeneration and spinal level
This study successfully trained a U-Net model for automatic slice-wise segmentation of 3D disc volumes from populations with a wide range of ages and disc degeneration. The final trained model is available to support scientific use.
Authors
- Milad I. Markhali
- Dawn M. Elliott (ORCID: https://orcid.org/0000-0003-4792-1029)
- Harrah R. Newman (ORCID: https://orcid.org/0000-0001-5555-4308)
- John M. Peloquin (ORCID: https://orcid.org/0000-0001-7145-6476)
- Kyle D. Meadows (ORCID: https://orcid.org/0000-0002-1113-8633)
Institutions
- University of Delaware (US)
Publication Details
- Journal
- JOR Spine
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/jsp2.70000
- Citations
- 3
- Primary Topic
- Spine and Intervertebral Disc Pathology
- Type
- article
- Field-Weighted Citation Impact
- 1.27
Funders
- National Institute of General Medical Sciences
- National Institute of Arthritis and Musculoskeletal and Skin Diseases