metadata

license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - image-to-image
language:
  - en
tags:
  - medical
  - code

Computed Tomography (CT) of the Spine - Scoliosis

The dataset consists of CT spine scans of people with scoliosis. images that aid in the assessment and diagnosis of scoliosis. Each scan consists of multiple slices capturing various sections of the spine, including the cervical (neck), thoracic (upper back), and lumbar (lower back) regions. The data are presented in 2 different formats: .jpg and .dcm.

The dataset of CT spine scans is valuable for research in automated scoliosis detection, scoliosis segmentation and scoliosis classification.

This dataset may contribute to the development of treatment planning techniques, surgical interventions, and monitoring strategies for patients with scoliosis.

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Content

The folder "files" includes 4 folders:

corresponding to each person with scoliosis
including spine scans in 2 different formats: .jpg and .dcm.

File with the extension .csv includes the following information for each media file:

dcm: link to access the .dcm file,
jpg: link to access the .jpg file,

Medical data might be collected in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/trainingdata-pro

keywords: scoliosis detection, scoliosis segmentation, scoliosis classification, scoliosis image dataset, medical imaging, radiology dataset, vertebral segmentation dataset, spine deformity dataset. thoracic spine, lumbar spine, abnormal spinal curvature, adolescent idiopathic scoliosis, congenital scoliosis, juvenile scoliosis, cobb angle ct, vertebral rotation, scoliotic curve dataset, posterior-anterior projection, lateral projection, spondylolisthesis