Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides
Ingrid Garberis(Inserm), Magali Lacroix‐Triki(Université Paris-Saclay), M. Sapateiro(Université Paris-Saclay), Benoît Schmauch(Owl Research Institute), Sibille Everhard(Assistance Publique – Hôpitaux de Paris), 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, Lionel Guillou, J. Linhart, Meriem Sefta, V. Aubert, F. Brulport, Oussama Tchita, A. Jaeger, F. Bernigole(Université Paris-Saclay), Imad Bousaid(Institut Gustave Roussy), Loïc Herpin, Rémy Dubois, Jérôme Lemonnier(UniCancer Group), A. Sarrazin, Damien Drubay(Inserm), Suzette Delaloge, Mikael Azoulay(Institut Gustave Roussy), Alexandre Filiot, J-F Reboud, M. Auffret, Fabrice André(Inserm)
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