Litcius/Paper detail

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux, Jean-Philippe Lamarque, Benoit Charmettant, Mikael Azoulay, François Cotton, Antoine Khalil, Olivier Lucidarme, F. Pigneur, Y. Benaceur, Alexandre Sadate, Mathieu Léderlin, François Laurent, Guillaume Chassagnon, Olivier Ernst, Gustavo Ferreti, Yann Diascorn, Pierre‐Yves Brillet, M. Creze, L. Cassagnes, Caroline Caramella, Antoine Loubet, Axel Dallongeville, N. Abassebay, Mickaël Ohana, Nathan Banaste, M. Cadi, Julien Behr, Loïc Boussel, Laure Fournier, Marc Zins, Jean-Paul Bérégi, Alain Luciani, Anne Cotten, J F Méder

2020Diagnostic and Interventional Imaging43 citationsDOIOpen Access PDF

Topics & Concepts

MedicineMedical physicsRadiomicsSubspecialtyMultidisciplinary approachMagnetic resonance imagingModalitiesData setRadiologyArtificial intelligencePathologyComputer scienceSocial scienceSociologyRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI