Brain Disease Detector

Detect brain diseases using YOLOv8 with high accuracy from brain MRI scans

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Installation
3. Contributing
4. Contact

About The Project

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Built With

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Installation

For local use, please download the files in here

NOTE: Since the project uses AWS Lambda and API Gateway, local use cannot use the same, therefore you won't have a frontend

Once you've obtained the files, you can follow these next steps

1. Make a new folder and put these files in

   model.pt
   yolo_inference.py

2. Optional: Create a virtual environment and activate it

   python -m venv .venv
   . .venv/Scripts/activate

   Some systems might be different (python3 rather python; . .venv/bin/activate rather than . .venv/Scripts/activate)

3. Install ultralytics

   pip install ultralytics

4. Open yolo_inference.py and change the <image_file_path> to your MRI scan image path

   from ultralytics import YOLO
   model = YOLO('model.pt')
   model.predict('<image_file_path>', save=True)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Contact

Duong Hoang - LinkedIn

Project Link: Github

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