Developing a Diagnosis Aiding Ontology Based on Hysteroscopy Image Processing

Poulos, M. and Korfiatis, N. ORCID: https://orcid.org/0000-0001-6377-4837 (2010) Developing a Diagnosis Aiding Ontology Based on Hysteroscopy Image Processing. In: Metadata and Semantic Research. Communications in Computer and Information Science, 108 . Springer-Verlag Berlin Heidelberg, Alcala de Henares, Spain, pp. 57-62. ISBN 978-3-642-16551-1

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Abstract

In this paper we describe an ontology design process which will introduce the steps and mechanisms required in order to create and develop an ontology which will be able to represent and describe the contents and attributes of hysteroscopy images,as well as their relationships,thus providing a useful ground for the development of tools related with medical diagnosis from physicians

Item Type:	Book Section
Uncontrolled Keywords:	ontologies,metadata,hysteroscopy,medical imaging,medical diagnosis
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management Faculty of Social Sciences > Research Centres > Centre for Competition Policy
Depositing User:	Pure Connector
Date Deposited:	21 Jan 2015 16:06
Last Modified:	19 Apr 2023 01:26
URI:	https://ueaeprints.uea.ac.uk/id/eprint/51432
DOI:	10.1007/978-3-642-16552-8_6

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