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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Detalles Bibliográficos
Autores principales: Menotti, Laura, Silvello, Gianmaria, Atzori, Manfredo, Boytcheva, Svetla, Ciompi, Francesco, Di Nunzio, Giorgio Maria, Fraggetta, Filippo, Giachelle, Fabio, Irrera, Ornella, Marchesin, Stefano, Marini, Niccolò, Müller, Henning, Primov, Todor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495665/
https://www.ncbi.nlm.nih.gov/pubmed/37705689
http://dx.doi.org/10.1016/j.jpi.2023.100332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495665/
https://www.ncbi.nlm.nih.gov/pubmed/37705689
http://dx.doi.org/10.1016/j.jpi.2023.100332

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