Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.

Autor: Marini N; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland. Electronic address: niccolo.marini@hevs.ch., Marchesin S; Department of Information Engineering, University of Padua, Padua, Italy. Electronic address: stefano.marchesin@unipd.it., Wodzinski M; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland; Department of Measurement and Electronics, AGH University of Kraków, Krakow, Poland., Caputo A; Department of Pathology, Ruggi University Hospital, Salerno, Italy; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy., Podareanu D; SURFsara, Amsterdam, The Netherlands., Guevara BC; SURFsara, Amsterdam, The Netherlands., Boytcheva S; Ontotext, Sofia, Bulgaria; Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria., Vatrano S; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy., Fraggetta F; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Ciompi F; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Silvello G; Department of Information Engineering, University of Padua, Padua, Italy., Müller H; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland; Medical faculty, University of Geneva, 1211 Geneva, Switzerland., Atzori M; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland; Department of Neurosciences, University of Padua, Padua, Italy.

Publikováno v: Medical image analysis [Med Image Anal] 2024 Oct; Vol. 97, pp. 103303. Date of Electronic Publication: 2024 Aug 14.