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Brain MRI

Dataset of MRI images of the brain 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
    2,000,000+
    medical studies
    14 days
    from signing a contract

Case Description

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

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Medical studies from people with metastatic lesions, cancer, multiple sclerosis, Arnold-Chiari malformation, focal gliosis of the brain and many other conditions

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The data are provided by licensed medical facility organization

GIF made from images 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 brain disorders, such as tumors, strokes, and neurodegenerative diseases
  • 02.

    Treatment planning:

    The data to develop personalized treatment plans for patients with brain 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 brain disorders over time, allowing for early detection of any changes or complications
  • 04.

    Brain-computer interface development:

    The data to develop brain-computer interfaces (BCIs) that allow patients with brain injuries or disorders to communicate or interact with their environment

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