影像组学学习之路 pyradiomics 使用示例

• 测试用的图片：

  pyradiomics\data\brain1_image.nrrd 和 pyradiomics\data\brain1_label.nrrd’

• 测试用的配置文件：

  pyradiomics\examples\exampleSettings\Params.yaml

• 将上述图片和配置文件拷贝到同一个文件夹，并且在同一文件夹下新建Python File

代码：

1. import radiomics
2. import radiomics.featureextractor as FEE
4. # 文件名
5. main_path = '.'
6. ori_name = r'\brain1_image.nrrd'
7. lab_name = r'\brain1_label.nrrd'
8. para_name = r'\Params.yaml'
10. # 文件全部路径
11. ori_path = main_path + ori_name
12. lab_path = main_path + lab_name
13. para_path = main_path + para_name
14. print( "originl path: " + ori_path)
15. print( "label path: " + lab_path)
16. print( "parameter path: " + para_path)
18. # 使用配置文件初始化特征抽取器
19. extractor = FEE.RadiomicsFeaturesExtractor(para_path)
20. print ( "Extraction parameters:\n\t", extractor.settings)
21. print ( "Enabled filters:\n\t", extractor._enabledImagetypes)
22. print ( "Enabled features:\n\t", extractor._enabledFeatures)
24. # 运行
25. result = extractor.execute(ori_path,lab_path) #抽取特征
26. print ( "Result type:", type(result)) # result is returned in a Python ordered dictionary
27. print ( "")
28. print ( "Calculated features")
29. for key, value in result.items(): #输出特征
30. print ( "\t", key, ":", value)

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