Brain-Tumor-Classifier

Classification of 3 different types of brain tumors using an MRI dataset and SciKit

Classification is accomplished via Support Vector Machines (supervised learning).

We classify images using three different kinds of methods:

1. SVC (C-Support Vector Classification)
2. LinearSVC (Linear Support Vector Classification)
3. NuSVC (Nu-Support Vector Classification)

We label tumors with the following integers:

• 1=meningioma
• 2=glioma
• 3=pituitary tumor

The image dataset can be found in braintumors_1/

Usage: python3 classifer_TYPE.py

• SVC: classifer_SVC.py
• LinearSVC: classifer_linearSVC.py
• NuSVC: classifer_NuSVC.py

Python Dependencies: scipy.io, numpy, matplotlib.pyplot, sklearn, h5py, os, errno, random