SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications

Giorgio Maria Di Nunzio, Nicola Ferro 0001, Fabio Giachelle, Ornella Irrera, Stefano Marchesin 0001, Gianmaria Silvello. SKET: an Unsupervised Knowledge Extraction Tool to Empower Digital Pathology Applications. In Alex Falcon, Stefano Ferilli, Alessia Bardi, Stefano Marchesin 0001, Domenico Redavid, editors, Proceedings of the 19th The Conference on Information and Research science Connecting to Digital and Library science, IRCDL 2023, Bari, Italy, February 23-24, 2023. Volume 3365 of CEUR Workshop Proceedings, pages 144-152, CEUR-WS.org, 2023. [doi]

Abstract

Abstract is missing.