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🧠 Brain_Tumor_Prediction - Detect Brain Tumors Easily

📌 Project Description

Brain tumor detection is an important task in medical imaging. This project uses deep learning to automatically analyze MRI images and predict whether a brain tumor is present. The model classifies MRI scans into two categories:

1. Tumor
2. No Tumor

It aims to help in early detection, which can be critical for treatment.

🛠️ Technologies Used

This project is built using the following technologies:

• Programming Language: Python
• Framework: PyTorch
• Libraries:
  • TorchVision
  • OpenCV
  • NumPy
  • Matplotlib
• Model Type: Convolutional Neural Network (CNN)

📂 Project Structure

The project has the following structure:

Brain Tumor Detection/
│
├── dataset/
│   ├── train/
│   │   ├── tumor/
│   │   └── no_tumor/
│   └── test/
│       ├── tumor/
│       └── no_tumor/
│
├── model.py
├── train.py
├── predict.py
├── brain_tumor_model.pth
├── requirements.txt

🚀 Getting Started

Step 1: System Requirements

To use this application successfully, make sure your system meets the following requirements:

• Operating System: Windows, macOS, or Linux
• Python Version: 3.6 or higher
• Memory: At least 8 GB of RAM
• Storage: At least 1 GB of free disk space
• Video Card: recommended for better performance (if available)

Step 2: Download & Install

Visit the following page to download the latest version of the application:

Download Latest Release

On this page, scroll down to find the latest release. Download the appropriate file for your system.

Step 3: Set Up Your Environment

1. Install Python: If you don’t have Python installed, obtain it from the official website.

2. Install Required Libraries: Use the command line to install the necessary libraries. Open your command prompt and run:

   pip install -r requirements.txt
   

Step 4: Run the Application

1. Launch the command prompt or terminal.
2. Navigate to the folder where you downloaded the project.

3. Run the following command to start the application:

   python predict.py
   

You will need to provide the path to the MRI image file you want to analyze. The model will then predict if there is a tumor or not.

📊 Example Usage

To test the application, place your MRI image in the test/ folder of the project structure. Update the predict.py script to point to this file. The output will indicate whether a tumor is detected in the image.

🧑‍🤝‍🧑 Community and Support

If you have questions or need help, you can open an issue on the GitHub repository.

📜 License

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

🌟 Acknowledgments

Thank you to everyone who contributed to this project. Your support is appreciated.

For any updates, please visit the following link again:

Download Latest Release