Annotations, ontologies, and whole slide images – Development of an annotated ontology-driven whole slide image library of normal and abnormal human tissue

Lindman, K, Rose, JF, Lindvall, M et al. (2 more authors) (2019) Annotations, ontologies, and whole slide images – Development of an annotated ontology-driven whole slide image library of normal and abnormal human tissue. Journal of Pathology Informatics, 10 (1). 22. 22-. ISSN 2229-5089

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Copyright, Publisher and Additional Information: © 2019 Journal of Pathology Informatics | Published by Wolters Kluwer - Medknow. This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‑commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Keywords: Annotation, digital pathology, image database, ontology, whole slide images
Dates:
  • Accepted: 6 January 2019
  • Published: 23 July 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cancer and Pathology (LICAP)
Depositing User: Symplectic Publications
Date Deposited: 11 Mar 2020 14:24
Last Modified: 11 Mar 2020 14:25
Status: Published
Publisher: Medknow
Identification Number: https://doi.org/10.4103/jpi.jpi_81_18
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