13-02-2017, 02:18 PM
A Matlab code is written to segment the tumor and classify it as benign or malignant using SVM.
The characteristics used are DWT + PCA + Statistics + Texture
How to run ?
1. Unzip and place the Brain_Tumor_Code folder in the Matlab path and add both the dataset
2. Run BrainMRI_GUI.m and click and select the image in the GUI
3. Segment the image and observe the results of the classification
4. Evaluate the accuracy
MATLAB can be used for a medical imaging problem. Given an MRI, the first segment of the brain mass of the rest of the head, then determine the volume of the brain. Also compare the lots of gray and white matter present. This example was developed for seminars. It was also used for webinars for medical applications transmitted live on May 6, 2004.
This package includes a MATLAB code and an MRI scan series consisting of 60 DICOM images. Note that this code is based on the other MATLAB Central submissions. Detailed references to these sources are included.
The characteristics used are DWT + PCA + Statistics + Texture
How to run ?
1. Unzip and place the Brain_Tumor_Code folder in the Matlab path and add both the dataset
2. Run BrainMRI_GUI.m and click and select the image in the GUI
3. Segment the image and observe the results of the classification
4. Evaluate the accuracy
MATLAB can be used for a medical imaging problem. Given an MRI, the first segment of the brain mass of the rest of the head, then determine the volume of the brain. Also compare the lots of gray and white matter present. This example was developed for seminars. It was also used for webinars for medical applications transmitted live on May 6, 2004.
This package includes a MATLAB code and an MRI scan series consisting of 60 DICOM images. Note that this code is based on the other MATLAB Central submissions. Detailed references to these sources are included.
