search

AIM-Harvard / pyradiomics

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
http://pyradiomics.readthedocs.io/
BSD 3-Clause "New" or "Revised" License
1.14k stars 492 forks source link

Pyradiomics Features #760

Closed e187603 closed 2 years ago

e187603 commented 2 years ago

Hello,

I'm Selman EREL from Ankara Yildirim Beyazit University, Ankara, Turkey. I'm pursuing my PhD in Electrical and Electronics Engineering Department. My PhD topic is Radiomics. I'm responsible to research on radiomics features defined as standard. I have seen PyRadiomics and it is rather useful. It says in pyradiomics website that approximately 1500 radiomics features can be extracted from an image by using pyradiomics. However, in documentation of it, 120 features (19+16+10+24+16+16+5+14) are described but rest is not mentioned. How can I reach the radiomics features that pyradiomics can extract approximately 1500 from a medical image?

Best Regards,

Selman EREL

JoostJM commented 2 years ago

When applying filters, the number of extracted features is compounded as e.g. firstorder_Mean extracted from original image is different from firstorder_Mean extracted from LoG-filtered image.