Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
Jean Ogier du Terrail, Armand Léopold, Clément Joly, Constance Béguier, Mathieu Andreux, Charles Maussion, Benoît Schmauch, Eric W. Tramel, Etienne Bendjebbar, Mikhail Zaslavskiy, Gilles Wainrib, Maud Milder, Julie Gervasoni, Julien Guérin, Thierry Durand, Alain Livartowski, Kelvin Moutet, Clément Gautier, Inal Djafar, Anne-Laure Moisson, Camille Marini, Mathieu Galtier, Félix Balazard, Rémy Dubois, Jeverson Moreira, Antoine Simon, Damien Drubay, Magali Lacroix‐Triki, Camille Franchet, Guillaume Bataillon, Pierre‐Etienne Heudel
Topics & Concepts
Triple-negative breast cancerBreast cancerMedicineBiomarkerChemotherapyTriple negativeCancerOncologyInternal medicineMachine learningComputer scienceBiochemistryChemistryAI in cancer detectionBreast Cancer Treatment StudiesBreast Lesions and Carcinomas