Brain Tumor Classifier

This application processes MRI scans to identify and classify brain tumors into three categories: Pituitary, Glioma, and Meningioma.

Dataset(s) 🗃️

• Brain Tumor MRI Dataset

Setup & Installation

Prerequisites

Ensure the following are installed;

• Git
• Python
• Jupter Notebook (or install the Jupyter extension on Visual Studio Code).

To set up this project locally, follow these steps:

1. Clone the repository:

git clone https://github.com/thebugged/brain-tumor-classifier.git

2. Change into the project directory:

cd brain-tumor-classifier

3. Install the required dependencies:

pip install -r requirements.txt

Running the application

1. Run the command:

streamlit run mainapp.py

2. Alternatively, you can run the brain.ipynb notebook to get the model & weights (brain_model.json, brain_weights.h5) then run the command in 1.

The application will be available in your browser at http://localhost:8501.