Access to multi-centre cancer imaging dataset for the AI communities and industries remains a challenge as large cancer imaging repositories are lacking in Europe. EuCanImage directly addresses this imperative need for high-quality and large repositories in Europe, and takes into account the European landscape in legal and ethical issues, variety of clinical systems, and existing data infrastructures. The platform will be populated with new data from 25 000 subjects, enabling the investigation of unmet clinical needs, such as the detection of small liver lesions and metastases of colorectal cancer or the evaluation of the molecular subtypes of breast tumours. The platform will be cross-linked to biological and health repositories through the European Genome–phenome Archive, allowing the development of multiscale AI solutions that integrate organ-level, molecular and clinical predictors into novel patient-specific cancer fingerprints. The consortium will build upon several European initiatives in data sharing for personalised medicine research.

Project information


A European Cancer Image Platform Linked to Biological and Health Data for Next- Generation Artificial Intelligence and Precision Medicine in Oncology


Dr. Karim Lekadir (University of Barcelona)

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