MRI Brain Tumor Analysis with SVM Classifier / MATLAB Code

This package “MRI Brain Tumor Analysis with SVM Classifier” provides a complete MATLAB implementation for detecting and classifying brain tumors in MRI scans using the Support Vector Machine (SVM) algorithm. The workflow includes preprocessing MRI images, extracting meaningful features through wavelet transforms and Gabor filters, and applying SVM for accurate classification into tumor and non-tumor categories.

The project comes with:

• MATLAB source code (.m files)

• Sample image datasets for training and testing

• Pre-prepared data files (.mat)

• A detailed Word document explaining the methodology and step-by-step implementation

This code can be used as a foundation for academic research, student projects, or further development into advanced medical imaging systems. It allows you to observe the full pipeline from feature extraction to classification and can be easily customized to suit different datasets or research needs.