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Given the dataset analyzed and presented in the supplement to the Cancer Research paper (still under review?), develop scripts and generate a DICOM representation of nodule segmentations as DICOM Segm…
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Since there are some images with more masks assigned with different sizes, which is why my multiprocessing code to extract features wasn't working after all, I need to use the csv to extract the corre…
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I have a tissue image and there are around 100 cells in it. I also have the corresponding mask image which includes those 100 cells. How do I calculate the radiomics features for each cell?
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Hi,
I have a question regarding voxel-based extraction of radiomics features. I am currently performing this with the default voxel-based settings using the code below:
featureVector = extracto…
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Hi,
I'm currently using the Pyradiomics v3 and when I try to calculate voxel-based features, there is a ""Calculation of GLSZM Failed."" error happened and seems like the error directs to the compi…
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Hi,
I am trying to batch convert many RT Structure Sets to binary label maps (NRRD format). Using the `Slicer` GUI and the `SlicerRT` extension, I seem to be able to load in the RTSS and then using…
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Hello, first of all, congratulations to @JoostJM and all of the people who have contributed developing this wonderful Python package.
**Describe the bug**
Recently, I've been experiencing an issue…
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**Describe the bug**
(1) I can compute all voxel features, but GLSZM fails in my data set. Why is GLSZM different? Do I need to change some settings?
(2) Why extraction of features (e.g. GLSZM stati…
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I extract my labels using Connected Component Analysis from the mask image for Radiomics features; let's say it extracts 281 cells in an image. However, those regions can be generated by skimage.measu…