archudzik / brainClassification

Machine learning models for classification of Parkinson's disease using volumes and centroids of specific regions of interest (ROIs) from the MRI data.

Brain Structural Classification Workflow

This experimental project processes volumes and centroids of various brain structures using pretrained machine learning algorithms.

Requirements

• FreeSurfer
• Python 3.x
• Required Python packages (see requirements.txt)

Installation

Python and Required Packages

Install the required Python packages:

pip install -r requirements.txt

Usage

To run the script, you need to provide the path to the CSV file with structural data. Example command:

python classify.py --csv_file="data/sample.csv"

Command-Line Arguments

    --csv_file: Path to the CSV file with structural data.
    --use_larger: Use larger model (trained including validation set).

Output

The script classifies the data into one of the groups (CONTROL, PRODROMAL, PARKINSON).

License

This project is licensed under the MIT License.