CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most am...

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Bibliographic Details
Main Authors: Luis Martí Bonmatí, Ana Miguel, Amelia Suárez, Mario Aznar, Jean Paul Beregi, Laure Fournier, Emanuele Neri, Andrea Laghi, Manuela França, Francesco Sardanelli, Tobias Penzkofer, Phillipe Lambin, Ignacio Blanquer, Marion I. Menzel, Karine Seymour, Sergio Figueiras, Katharina Krischak, Ricard Martínez, Yisroel Mirsky, Guang Yang, Ángel Alberich-Bayarri
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Oncology
Subjects:
radiology
artificial intelligence-AI
cancer imaging
cancer management
quantitative imaging biomarkers
image harmonization
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.742701/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.742701/full

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