Public data homogenization for AI model development in breast cancer

Public data homogenization for AI model development in breast cancer

Abstract Background Developing trustworthy artificial intelligence (AI) models for clinical applications requires access to clinical and imaging data cohorts. Reusing of publicly available datasets has the potential to fill this gap. Specifically in the domain of breast cancer, a large archive of pu...

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Bibliographic Details
Main Authors: Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis, Kostas Marias
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence, Breast neoplasms, Magnetic resonance imaging, Public datasets, Software
Online Access:https://doi.org/10.1186/s41747-024-00442-4

Internet

https://doi.org/10.1186/s41747-024-00442-4

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