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Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data
1
Zitationen
19
Autoren
2024
Jahr
Abstract
• Heterogeneous data in the MALIMAR study required the development of novel curation strategies. • Correction of multiple problems affecting the real-world data was successful, but implications for machine learning are still being evaluated. • Modern image repositories have rich application programming interfaces enabling data enrichment and programmatic QA, making them much more than simple "image marts".
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