https://github.com/mariuszpaluch2001/brain-cancer-segmentation
Brain Tumor Segmentation with UNet-2D
https://github.com/mariuszpaluch2001/brain-cancer-segmentation
flask mri-brain pytorch react unet-image-segmentation
Last synced: 4 months ago
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Brain Tumor Segmentation with UNet-2D
- Host: GitHub
- URL: https://github.com/mariuszpaluch2001/brain-cancer-segmentation
- Owner: MariuszPaluch2001
- License: mit
- Created: 2025-02-16T20:02:43.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-16T20:27:39.000Z (4 months ago)
- Last Synced: 2025-02-16T21:26:02.636Z (4 months ago)
- Topics: flask, mri-brain, pytorch, react, unet-image-segmentation
- Language: Python
- Homepage:
- Size: 4.37 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Brain Tumor Segmentation AI
This project is an AI-powered system for brain tumor segmentation from MRI scans. It consists of three main components:
- **AI Model**: A deep learning model trained to segment brain tumors from MRI images.
- **Backend (Flask)**: A lightweight backend API that serves the AI model and processes image requests.
- **Frontend (React)**: A web-based interface that allows users to upload MRI images and visualize the segmentation results.
## Features
- Upload MRI scans for processing
- AI-based brain tumor segmentation
- Visual representation of the results
- REST API for model inference
## Tech Stack
- **Backend**: Flask, TensorFlow/PyTorch (for AI model)
- **Frontend**: React, TailwindCSS
- **Virtualization**: Docker (optional), REST API
## Usage
### Docker
```bash
cd app
docker compose up -d
```
## License
This project is open-source under the MIT License.