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Spine MRI

Dataset of MRI images of the spine and corresponding text reports from radiologists with descriptions, conclusions and recommendations

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  • Medicine The use of machine learning in the medicine
  • Computer Vision Ability of a machine to interpret, analyze, and understand visual data
  • Classification Process of recognition and grouping of objects into preset categories
  • Data Labeling Highlighting objects in photos to train systems to recognize and interpret them
    2,400,000+
    medical studies
    14 days
    from signing a contract

Case Description

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Dataset includes MRI scans of the spine and text reports from radiologists with description of a patient’s condition, conclusions and recommendations

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Medical studies from people with intervertebral disc degeneration, scoliosis, osteophytes, osteochondrosis, hemangioma, disc extrusion, spondyloarthrosis and many other conditions

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The data are provided by licensed medical facility organization

GIF made from images in the dataset
GIF made from images in the dataset
Example of the image in the dataset
Example of the image in the dataset
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Application areas of the dataset

  • 01.

    Diagnostic accuracy:

    The dataset to train and evaluate the accuracy of AI models in diagnosing various spinal disorders, such as herniated discs, spinal stenosis, and spinal fractures
  • 02.

    Treatment planning:

    The data to develop personalized treatment plans for patients with spinal disorders, taking into account the patient's specific diagnosis, age, sex, and other factors
  • 03.

    Monitoring disease progression:

    The dataset to track the progression of spinal disorders over time, allowing for early detection of any changes or complications
  • 04.

    Minimally invasive surgery planning:

    The data to plan and simulate minimally invasive surgical procedures, such as lumbar fusions or vertebroplasties, to minimize risks and maximize outcomes

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