Modelling digital health data: The ExaMode ontology for computational pathology

Modelling digital health data: The ExaMode ontology for computational pathology

Computational pathology can significantly benefit from ontologies to standardize the employed nomenclature and help with knowledge extraction processes for high-quality annotated image datasets. The end goal is to reach a shared model for digital pathology to overcome data variability and integratio...

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Bibliographic Details
Main Authors: Laura Menotti, Gianmaria Silvello, Manfredo Atzori, Svetla Boytcheva, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Fabio Giachelle, Ornella Irrera, Stefano Marchesin, Niccolò Marini, Henning Müller, Todor Primov
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Pathology Informatics
Subjects:
Computational pathology
Ontology
Semantic integration
Histopathology
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001463

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http://www.sciencedirect.com/science/article/pii/S2153353923001463

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