lumbar-spine-mri

The dataset contains 2.4 million lumbar spine MRI studies, focusing on vertebrae and intervertebral discs. Scans are accompanied by medical reports for diagnosing spinal diseases such as degenerative spinal disease, lumbar degenerative disease, and disc herniation. The dataset emphasizes sagittal T2‑weighted images of the spinal canal and uses the sagittal view for detailed spinal imaging. It supports segmentation algorithms and classification models to achieve accurate automatic segmentation and classification. Deep learning can be applied to assess spinal stenosis, detect degenerative changes, and segment spinal structures. The data include sagittal and axial views and are suitable for machine‑learning and medical‑diagnostic tasks. All patients consented to data release, and the data are de‑identified.