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Great Free Stuff

http://www.radiomics.io/ from Harvard contains an open source DICOM viewer with the capability to plug in many open source projects for quantitative image analysis

http://www.eletel.p.lodz.pl/programy/mazda/ from Institute of Electronics, Technical University of Lodz (TUL), Poland. 

Program written and compiled for PC computers that use MS Windows® 9x/NT/2000/XP operating systems. 

Recently added functionality of feature clustering techinques and unsupervised image segmentation. 

 

Awesome lecture that gives a sense by example of how radiomics can improve patient care available here:

 https://www.youtube.com/watch?v=SfIpM3og5Y8

©2018 by Dr. Candace Makeda Moore.

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