B3CARE XNAT-Based Research Infrastructure for Imaging Biomarker Evaluation

Abstract

The B3CARE project aims to validate and evaluate imaging biomarkers for the Big-3 diseases (lung cancer, COPD, and cardiovascular disease). To this end a large-scale, high- quality imaging data biobank is established containing data from different projects resulting in about 70,000 examinations all stored in the XNAT opensource platform and part of the virtual research environment (VRE) of the UMCG. To explore imaging biomarkers different. AI solutions are integrated using several methodologies.

Publication
Data Science Centre in Health
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Peter van Ooijen
Coordinator Machine Learning Lab

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