Extracting radiomics features in 3D Slicer tutorial

3D Slicer (www.slicer.org/) is an open source software for medical image analysis and visualisation. In this video we demonstrate how to prepare segments as 3D radiomics objects. We also show how to extract segment features. We used the open source Cancer Imaging Archive (TCIA) dataset available at wiki.cancerimagingarchive.net....
Timestamps:
0:28 Installing required plugins
1:12 Loading data
1:51 Regions segmentation
2:51 Generating segment 3D image
3:47 Saving segments
4:20 Extracting radiomics features
6:07 Saving features table
The segmentation performed in 3D Slicer allows each segment (possibly of a malignant tissue) to be stored in a separate file, making feature extraction much faster and easier. This is a step towards the further development of quantitative radiomics.
License: the Cancer Imaging Archive (TCIA).

[@mikolajbuchwald]

Great, clear, step-by-step example, that includes both: installation and using the module

[@user-hp2fl9er5x]

Thank you! You cant even imagine how valuable your video is!!!

[@mikolajbuchwald]

Thank you! We slowly begin to relize, once we started visiting other laboratories ;)

[@revathysuresh942]

Such a great video, thank you so much.

[@psychosensing]

Glad you liked it! At the moment we are more into some analyses, but more such videos can follow in the future :)

[@Arnab913]

Excellent tutorial!

[@psychosensing]

Thank you @Arnab913 !

[@ffarzane9245]

It is a great tutorial. Thanks alot.

[@psychosensing]

Your welcome!