Deep Learning Allows Assessment of Risk of Metastatic Relapse from Invasive Breast Cancer Histological Slides
Ingrid Garberis(Inserm), Magali Lacroix‐Triki(Université Paris-Saclay), M. Sapateiro(Université Paris-Saclay), Benoît Schmauch(Owl Research Institute), Barbara Pistilli(Inserm), V. Gaury, K. Elgui, J. Dachary, Aurélie Kamoun(La Ligue Contre le Cancer), Charlie Saillard(Laboratoire Procédés et Ingénierie en Mécanique et Matériaux), Pierre Courtiol, J. Linhart, Etienne Bendjebbar, Meriem Sefta, V. Aubert, A. de Lavergne, F. Brulport, A. Jaeger, F. Bernigole(Université Paris-Saclay), Imad Bousaid(Institut Gustave Roussy), Loïc Herpin, Rémy Dubois, Jérôme Lemonnier(UniCancer Group), A. Sarrazin, L. Guillou, Damien Drubay(Inserm), Suzette Delaloge, Mikael Azoulay(Institut Gustave Roussy), Alexandra Jacquet(UniCancer Group), J-F Reboud, M. Auffret, Fabrice André(Inserm)
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