Abstract 84: Deep-learning prediction of progression-free survival to EGFR inhibitors from H&E tissue slides in advanced EGFR -mutated non-small cell lung cancer.
Year: 2026
Type: conference-abstract
Source: Cancer Research
Authors: Lodovica Zullo, Elin Samuelsson, Fabrizio Citarella, Mina Farag, Francesco Cortiula, Andrea De Giglio, Frank Aboubakar, Katharina von Loga, Etienne Hatton, Lorenzo Nibid, Giovanna De Maglio, Francesca Ambrosi, Beatrice Ramella Pollone, Melanie Janson, Alessandro Russo, Andrew Whittum, Ingrid Garberis, Victor Aubert, Hortense Deslandes, David Planchard, Fabrice Andre, Cecile Badoual, Benjamin Besse, Maria Rosa Ghigna, Mihaela Aldea
Institutions: Institut Gustave Roussy, Università Campus Bio-Medico, University of Udine, University of Bologna, Cliniques Universitaires Saint-Luc, Ospedale Maggiore Carlo Alberto Pizzardi, Ospedale Policlinico San Martino, Centre François Baclesse, Azienda Ospedaliera Ospedali Riuniti Papardo Piemonte
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7148766300
Cites:
Cited by:
Related to: