Wiki¶

OnkoDICOM can function as a research aid permitting:

1. anonymisation of DICOM image sets individually or in batch mode
2. manipulation of DICOM image set by being able to add a RTSTRUCT file
3. manipulation of DICOM-RT by allowing name changes, DVH production, contour manipulation, Radiomics calculation in individual or batch mode
4. storage of clinical data within DICOM-SR
5. Auto-segmentation of DICOM image set
6. Fusion of multiple DICOM image sets
7. Machine Learning model development for disease groups
8. Application of ML models to new patients

Testing for OnkoDICOM.2026¶

The following data sets will be used for testing and are linked below:

1. 056CF3C48512F2BD4C5F99D9231017DF
2. 12A9E4CF4D51F7C339948C73D7FCDC9C
3. 14C601FCFA574D4C68FA6C53368B1D0B