P2.06.65 An Ensemble Approach to Predict Three-Class PD-L1 Expression From H&E Whole-Slide Images
Year: 2025
Type: article
Source: Journal of Thoracic Oncology
Authors: A. Zec, M. Sacco, M.M. Declich, V. Mišković, D. Lorenzini, M. Ganzinelli, L. Provenzano, C. Silvestri, M. Meazza Prina, L. Roisman, A. Spagnoletti, A. Esposito, A.N. Husain, R. Romanò, A. Ferrarin, C.M. Licciardello, L. Lerma, M. Favali, B. Guirges, C. Cavalli, L. Mazzeo, M. Brambilla, M. Occhipinti, T. Beninato, G. Corrao, P. Ambrosini, M. De Ponti, M. Fernández-Pinto, C. Proto, S. Steurer, T. Olchers, E. Sarris, G. Lainakis, Y. Kezerle, A. Arbusa, M. Soleda, G. Pruneri, E. Felip, H. Linardou, N. Peled, M. Reck, F.M. de Braud, M. Restelli, G. Lo Russo, A.L.G. Pedrocchi, A. Pearson, A. Prelaj, F. Trovò, M.C. Garassino
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4415520236