本代码实现了对肿瘤部分的图像分割,并通过支持向量机进行良性、恶性分类。
A Matlab code is written to segment the tumor and classify it as Benign or Malignant using SVM.
所使用的特征为DWT + PCA + 统计 + 纹理。
The features used are DWT+PCA+Statistical+Texture.
使用步骤如下:
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解压缩后将Brain_Tumor_Code文件夹放置到MATLAB路径下,同时添加数据集。
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Unzip and place the folder Brain_Tumor_Code in the Matlab path and add both the dataset.
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运行BrainMRI_GUI.m文件,并点击选择GUI界面中的图片。
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Run BrainMRI_GUI.m and click and select image in the GUI.
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对图像进行分割,并观察分类结果。
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Segment the image and observe the results of classification.
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评估分类精确度。
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Evaluate accuracies.
本代码参考文献:Zhang, Yudong, and Lenan Wu. “An MR brain images classifier via principal component analysis and kernel support vector machine.” Progress In Electromagnetics Research 130 (2012): 369-388.
源代码下载地址:
http://page5.dfpan.com/fs/1lc1j2821a296160161/
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