Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Artificial intelligence (AI) is a powerful technology with the potential to disrupt cancer detection, diagnosis and treatment. However, the development of new AI algorithms requires access to large and complex real-world datasets. Although such datasets are constantly being generated, access to them...

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Veröffentlicht in:	Insights into imaging Jg. 16; H. 1; S. 47 - 10
Hauptverfasser:	Martí-Bonmatí, Luis, Blanquer, Ignacio, Tsiknakis, Manolis, Tsakou, Gianna, Martinez, Ricard, Capella-Gutierrez, Salvador, Zullino, Sara, Meszaros, Janos, Bron, Esther E., Gelpi, Jose Luis, Riklund, Katrine, Chaabane, Linda, Schlemmer, Heinz-Peter, Aznar, Mario, Serrano Candelas, Patricia, Gordebeke, Peter, Hierath, Monika
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 24.02.2025 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Annotations Artificial intelligence Cancer Cancer research Datasets Diagnostic Radiology Empowerment European Health Data Space Fragmentation Heterogeneity Imaging Infrastructure Internal Medicine Interoperability Interventional Radiology Medical imaging Medical research Medicine Medicine & Public Health Neuroradiology Pathology Privacy Quality standards Radiology Repositories Statement Ultrasound Europe Infrastructure Cancer research European Health Data Space Artificial intelligence Imaging
ISSN:	1869-4101, 1869-4101
Online-Zugang:	Volltext
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