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Andrew Miller, 30/05/2026 01:31 PM

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h1. Wiki
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OnkoDICOM can function as a research aid permitting:
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# anonymisation of DICOM image sets individually or in batch mode
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# manipulation of DICOM image set by being able to add a RTSTRUCT file
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# manipulation of DICOM-RT by allowing name changes, DVH production, contour manipulation, Radiomics calculation in individual or batch mode
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# storage of clinical data within DICOM-SR
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# Auto-segmentation of DICOM image set
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# Fusion of multiple DICOM image sets
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# Machine Learning model development for disease groups
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# Application of ML models to new patients
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h1. Testing for OnkoDICOM.2026
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The following data sets will be used for testing:
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# https://redmine.didymodesigns.com.au/attachments/869 a.k.a. 056CF3C48512F2BD4C5F99D9231017DF
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# https://redmine.didymodesigns.com.au/attachments/858 a.k.a. 12A9E4CF4D51F7C339948C73D7FCDC9C
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# https://redmine.didymodesigns.com.au/attachments/864 a.k.a. 14C601FCFA574D4C68FA6C53368B1D0B