Ontological levels in histological imaging

Antony Galton; Gabriel Landini; David Randell; Shereen Fouad

doi:10.3233/978-1-61499-660-6-271

Ontological levels in histological imaging

Antony Galton^*, Gabriel Landini, David Randell, Shereen Fouad

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	Formal Ontology in Information Systems - Proceedings of the 9th International Conference, FOIS 2016
Editors	Roberta Ferrario, Werner Kuhn
Publisher	IOS
Pages	271-284
Number of pages	14
ISBN (Electronic)	9781614996590
DOIs	https://doi.org/10.3233/978-1-61499-660-6-271
Publication status	Published - 2016
Event	9th Formal Ontology in Information Systems Conference, FOIS 2016 - Annecy, France Duration: 6 Jul 2016 → 9 Jul 2016

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	283
ISSN (Print)	0922-6389

Conference

Conference	9th Formal Ontology in Information Systems Conference, FOIS 2016
Country/Territory	France
City	Annecy
Period	6/07/16 → 9/07/16

Bibliographical note

Funding Information:
This research is supported by EPSRC through funding under grant EP/M023869/1 "Novel context-based segmentation algorithms for intelligent microscopy".

Keywords

Digitised images
Discrete mereotopology
Formal ontologies
Histological image processing
Histological stains
Histology
Histopathology
Mathematical morphology
Microscopy
Segmentation
Spatial logics

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10.3233/978-1-61499-660-6-271Licence: CC BY-NC 3.0

Cite this

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title = "Ontological levels in histological imaging",

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.",

keywords = "Digitised images, Discrete mereotopology, Formal ontologies, Histological image processing, Histological stains, Histology, Histopathology, Mathematical morphology, Microscopy, Segmentation, Spatial logics",

author = "Antony Galton and Gabriel Landini and David Randell and Shereen Fouad",

note = "Funding Information: This research is supported by EPSRC through funding under grant EP/M023869/1 {"}Novel context-based segmentation algorithms for intelligent microscopy{"}. ; 9th Formal Ontology in Information Systems Conference, FOIS 2016 ; Conference date: 06-07-2016 Through 09-07-2016",

year = "2016",

doi = "10.3233/978-1-61499-660-6-271",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS",

pages = "271--284",

editor = "Roberta Ferrario and Werner Kuhn",

booktitle = "Formal Ontology in Information Systems - Proceedings of the 9th International Conference, FOIS 2016",

address = "Netherlands",

}

Galton, A, Landini, G, Randell, D & Fouad, S 2016, Ontological levels in histological imaging. in R Ferrario & W Kuhn (eds), Formal Ontology in Information Systems - Proceedings of the 9th International Conference, FOIS 2016. Frontiers in Artificial Intelligence and Applications, vol. 283, IOS, pp. 271-284, 9th Formal Ontology in Information Systems Conference, FOIS 2016, Annecy, France, 6/07/16. https://doi.org/10.3233/978-1-61499-660-6-271

Ontological levels in histological imaging. / Galton, Antony; Landini, Gabriel; Randell, David et al.
Formal Ontology in Information Systems - Proceedings of the 9th International Conference, FOIS 2016. ed. / Roberta Ferrario; Werner Kuhn. IOS, 2016. p. 271-284 (Frontiers in Artificial Intelligence and Applications; Vol. 283).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Galton, Antony

AU - Landini, Gabriel

AU - Randell, David

AU - Fouad, Shereen

N1 - Funding Information: This research is supported by EPSRC through funding under grant EP/M023869/1 "Novel context-based segmentation algorithms for intelligent microscopy".

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KW - Microscopy

KW - Segmentation

KW - Spatial logics

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ER -

Ontological levels in histological imaging

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Bibliographical note

Keywords

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