TumorTrack AI is a Transfer Learning based Brain Tumor Classification system capable of predicting type of brain tumor using MRI images.It is trained using Inception V3 architecture and has acquired an accuracy of 93.69% on the training dataset and 80.20% on the validation dataset.
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Install Dependencies: Make sure you have the necessary dependencies installed. You can install them using the following command:
pip install -r requirements.txt -
Run the Application: Run the Streamlit application using the following command:
streamlit run app.py -
Upload MRI Images: Once the application is running, upload an MRI image of the brain using the file uploader.
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View Results: The application will process the uploaded image and display the predicted result indicating the type of tumor detected.
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| Caption: Upload an MRI image | Caption: Displaying the predicted result |
The Dataset used in this project is publicly available and can be downloaded from Kaggle.
This project is licensed under MIT License - see the LICENSE file for details.