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brain-tumor-classification-and-clustering-

Java and matlab code for clustering of brain MRI images and classification of 5 types of tumor using genetic algorithm and PCA

brain-tumor-detector

Scans an MRI image and displays the Tumor portion of the brain

brain-tumor-extraction-from-mri-images

This project segments the tumor from MRI images using k-means, watershed, MSER, Otsu’s thresholding and graythresh segmentation techniques. Normalized cross correlation technique is also performed to compare the extracted tumor with the template tumor and achieved an accuracy of 85% in extracting the right tumor from brain images.

brain-tumour-detection

This is my ongoing project. In this project i will detect tumor region in brain. I will also try to calculate the area of the tumor region part .To do the project i am considering dataset of 187 MRI images. Fuzzy C-means clustering is used for the segmentation of the image to detect the suspicious region in the brain MRI image. I am applying SVM technique to classify the brain MRI image.

braintumorsegmentation

Matlab code for 2D segmentation of Brain tumors in head MRIs

breast-cancer-tumor-prediction

Based on the Wisconsin Breast Cancer Dataset available on the UCI Machine Learning Repository.

tumorextraction