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🧠 BrainScan-AI: A deep learning project for brain tumor detection and classification using MRI scans, achieving 94% accuracy across multiple tumor types.

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Camille-Maslin/BrainScan-AI

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BrainScan-AI

Overview

BrainScan-AI is a deep learning project focused on automated brain tumor detection using medical imaging. This project leverages state-of-the-art deep learning techniques to assist medical professionals in identifying and analyzing brain tumors from MRI scans.

Features

  • Advanced tumor detection using deep learning models
  • Support for MRI scan analysis
  • High accuracy prediction capabilities

Technologies Used

  • Python
  • TensorFlow/PyTorch
  • OpenCV
  • NumPy
  • Scikit-learn

Installation

# Clone the repository
git clone https://github.com/camille-maslin/BrainScan-AI.git

# Navigate to project directory
cd BrainScan-AI

# Install required dependencies
pip install -r requirements.txt

Usage

[Usage instructions will be added as the project develops]

Project Structure

BrainScan-AI/
β”œβ”€β”€ data/              # Dataset directory
β”œβ”€β”€ models/            # Trained models
β”œβ”€β”€ src/              # Source code
β”œβ”€β”€ tests/            # Unit tests ( IN COMING )
└── notebooks/        # Jupyter notebooks for analysis ( IN COMING )

License

This project is licensed under the MIT License - see the LICENSE file for details.

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🧠 BrainScan-AI: A deep learning project for brain tumor detection and classification using MRI scans, achieving 94% accuracy across multiple tumor types.

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