Ontological Levels in Histological Imaging
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Colleges, School and Institutes
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.
|Title of host publication||Formal Ontology in Information Systems|
|Publication status||Published - 6 Jul 2016|
|Name||Frontiers in Artificial Intelligence and Applications|