Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
I am trying to understand Voxel-based feature extraction. For example, I am using a T2 MR image with voxel-size 0.60.62 mm^3.
And voxel-based features were extracted using kernel size 4. Does it consider z-direction? or only in-plane?
I haven't set the Force2D parameter.
Hi All,
I am trying to understand Voxel-based feature extraction. For example, I am using a T2 MR image with voxel-size 0.60.62 mm^3. And voxel-based features were extracted using kernel size 4. Does it consider z-direction? or only in-plane? I haven't set the Force2D parameter.
Please find my parameter file below
imageType: Original: {} LoG: {'sigma' :[1.0, 3.0, 5.0]}
Wavelet: binWidth: 10
featureClass: glcm: glrlm: glszm: gldm: ngtdm: firstorder:
setting: normalize: true binWidth: 25 padDistance: 4 preCrop: true label: 1 correctMask: true
voxelSetting: kernelRadius: 4 maskedKernel: True initValue: nan voxelBatch: 10000