Ontological Levels in Histological Imaging

Antony Galton, Gabriel Landini, David Randell, Shereen Fouad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
71 Downloads (Pure)

Abstract

In this paper we present an ontological perspective on ongoing work in histological and histopathological imaging involving the quantitative and algorithmic analysis of digitised images of cells and tissues. We present the derivation of consistent histological models from initially captured images of prepared tissue samples as a progression through a number of ontological levels, each populated by its distinctive classes of entities related in systematic ways to entities at other levels. We see this work as contributing to ongoing efforts to provide a consistent and widely accepted suite of ontological resources such as those currently constituting the OBO Foundry, and where possible we draw links between our work and existing ontologies within that suite.
Original languageEnglish
Title of host publicationFormal Ontology in Information Systems
PublisherIOS Press
Pages271-284
Number of pages14
Volume283
ISBN (Electronic)978-1-61499-660-6
ISBN (Print)978-1-61499-659-0
DOIs
Publication statusPublished - 6 Jul 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press

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