Web-based Brain Tumor Semi-Automatic Segmentation and Classification

This project was my final project as Biomedical Eng. Student

Getting Started

You can use the application to classify brain tumor types with three main steps :

1. Uploading the .DICOM files
2. Annotating the tumor region
3. Waiting for the application to display the result

Dataset

You can download the dataset from this

Prerequisites

• npm 3.5 +
• python 3 +
• anaconda
• mysql server 5.7 +

Installing

Exporting the python packages from the environment Open the terminal, type :

cd server
conda list --explicit > packages.yml

Exporting the javascript packages Open the other terminal, type:

cd client
npm install

Installing mysql server
Open the other terminal, type:

sudo apt-get update
sudo apt-get install mysql-server

After that, set your own DB Server.

Running

Open the terminal, type :

python app.py

Open the other terminal, type:

npm start

The npm will direct you automatically to the browser.

Built With

• Flask - The web backend
• React - The web frontend

Further Questions

If you have any questions, feel free to contact me at abdulfaqihalm@Gmail.com

License

This project is licensed under the MIT License - see the LICENSE.md file for details