The proposed system scans the Magnetic Resonance images of brain. The scanning is followed by preprocessing which enhances the input image and applies filter to it. After enhancement, the image undergoes segmentation and feature extractions. Based on the feature extraction the system identifies whether the tumor is cancerous or non - cancerous (benign).

Packet : Brain-Tumor-Classification-and-Detection-Machine-Learning.zip filelist
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/Benign/
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Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/BrainMRI_GUI.fig
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/BrainMRI_GUI.m
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/Brain_DWT_PCA.m
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/Malignant/
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Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/Normalized_Features.mat
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/Trainset.mat
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/crossfun.m
Brain-Tumor-Classification-and-Detection-Machine-Learning-master/Brain_Tumor_Code/crossfun_Parameters.m

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