请帮我创建一个pyradiomics提取特征的配置yaml文件

好的，以下是一个简单的 pyradiomics 配置文件示例：

imageType: Original
binWidth: 25
resampledPixelSpacing:
  - 1
  - 1
  - 1
interpolator: sitkBSpline
normalize: true
enableCExtensions: true
additionalInfo: true
geometryTolerance: 1e-9
preCrop: true
preCropSize:
  - 50
  - 50
  - 50
label:
  exclude:
    - 0
  voxelBased: true
  additionalInfo: true
  additionalClasses:
    - value: 1
      name: tumor
      annotations:
        - description: tumor region
          identifier: Tumor
          data: {'foo': 'bar'}
    - value: 2
      name: necrosis
      annotations:
        - description: necrotic region
          identifier: Necrosis
          data: {'foo': 'bar'}
    - value: 3
      name: edema
      annotations:
        - description: peritumoral edema
          identifier: Edema
          data: {'foo': 'bar'}
    - value: 4
      name: enhancing
      annotations:
        - description: enhancing region
          identifier: Enhancing
          data: {'foo': 'bar'}
  interpolation: NearestNeighbor
  minimumROIDimensions:
    - 1
    - 1
    - 1
  boundingBoxMargin:
    - 5
    - 5
    - 5
  force2D: false
  force2Ddimension: 0
  force2DsliceNumber: -1
  standardize: true
  normalize: true
  normalizeScale: 1
  normalizeBackground: false
  voxelArrayShift: false
  voxelArrayShiftDistance: 1
  resampledPixelSpacing:
    - 1
    - 1
    - 1
  padDistance: 5
  originalShape: true
  label: true
  centroid: true
  boundingBox: true
  physicalSize: true
  originalImageShape: true
  enabledImageTypes:
    - Original
    - LoG
    - Wavelet
    - Square
    - SquareRoot
    - Gradient
    - LBP
  enabledFeatures:
    - shape
    - firstorder
    - glcm
    - glrlm
    - glszm
    - ngtdm
    - gldm

你可以根据你的数据和需求进行相应的修改。