Modelling digital health data: The ExaMode ontology for computational pathology

• 主要な著者: Laura Menotti (著者), Gianmaria Silvello (著者), Manfredo Atzori (著者), Svetla Boytcheva (著者), Francesco Ciompi (著者), Giorgio Maria Di Nunzio (著者), Filippo Fraggetta (著者), Fabio Giachelle (著者), Ornella Irrera (著者), Stefano Marchesin (著者), Niccolò Marini (著者), Henning Müller (著者), Todor Primov (著者)
• フォーマット: 図書
• 出版事項: Elsevier, 2023-01-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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...