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Revision 2 (Andrew Miller, 20/05/2026 10:23 PM) → Revision 3/4 (Andrew Miller, 30/05/2026 01:31 PM)

h1. Wiki 

 OnkoDICOM can function as a research aid permitting: 
 # anonymisation of DICOM image sets individually or in batch mode 
 # manipulation of DICOM image set by being able to add a RTSTRUCT file 
 # manipulation of DICOM-RT by allowing name changes, DVH production, contour manipulation, Radiomics calculation in individual or batch mode 
 # storage of clinical data within DICOM-SR 
 # Auto-segmentation of DICOM image set 
 # Fusion of multiple DICOM image sets 
 # Machine Learning model development for disease groups 
 # Application of ML models to new patients 

 h1. Testing for OnkoDICOM.2026 

 The following data sets will be used for testing: 
 # https://redmine.didymodesigns.com.au/attachments/869 a.k.a. 056CF3C48512F2BD4C5F99D9231017DF 
 # https://redmine.didymodesigns.com.au/attachments/858 a.k.a. 12A9E4CF4D51F7C339948C73D7FCDC9C 
 # https://redmine.didymodesigns.com.au/attachments/864 a.k.a. 14C601FCFA574D4C68FA6C53368B1D0B