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License: Other
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
License: Other
the ablation ellipsoid needs to be placed wrt to the ellipsoid
Options for computing the patients segmentations:
Options to do the matching:
The filepaths were incorrectly assigned in the final dataframe.
Doesn't take into account that the optimal coverage is at a distance of [5-10mm] . Considers perfect score 1 if all the tumor is covered and residual tumor volume is 0.
for example,I have the result of a brain tumor segmentation.But to distinguish different areas of tumor,We have 3 labels.
In this case , what should I do to use your code to evaluate the result?
Thanks!
Resize and Resample to correctly compute the distance and the volume metrics:
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