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MRI Image Segmentation

Overview

This project implements deep learning models for automatic segmentation of brain MRI images. It focuses on identifying and delineating different brain structures and potential abnormalities.

  • Notebook: A Jupyter notebook with the model training and evaluation process.
  • Data: Contains the MRI dataset used for training and evaluation.
  • Document: A PDF document detailing the methodology, experiments, and results (in Spanish).

This project is an assignment for the course "Deep Learning" at the Master in Artificial Intelligence Research at the Universidad Internacional Menéndez Pelayo (UIMP).

Requirements

  • Python 3.12+
  • Poetry (package manager)

Installation

  1. Clone the repository:

    git clone https://github.com/javiervela/mri-image-segmentation.git
    cd mri-image-segmentation
  2. Install Poetry if you haven't already:

    curl -sSL https://install.python-poetry.org | python3 -
  3. Install dependencies:

    poetry install

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