Ontology-based Medical Image Annotation with Description Logics
Ontology-based Medical Image Annotation with Description Logics
The interpretation of medical evidence is normally presented in terms of a controlled, but diversely expressed specialist vocabulary and natural language phrases. Such informally expressed data require human intervention to ascertain its relevance in any specific case. In order to facilitate machine-based reasoning about the evidence gathered, additional interpretive semantics must be attached to the data; a shift from a merely data-intensive approach to a semantics-rich model of evidence. In this paper, we present a system to formally annotate medical images captured to aid the diagnosis and management of breast cancer, that enables a series of semantics-based operations to be performed. Our approach is grounded upon an imaging ontology specifying the domain knowledge and a Description Logic (DL) taxonomic inferential engine responsible for semantics-based reasoning and image retrieval.
77-82
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
2003
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Hu, Bo, Dasmahapatra, Srinandan, Lewis, Paul and Shadbolt, Nigel
(2003)
Ontology-based Medical Image Annotation with Description Logics.
The 15th IEEE International Conference on Tools with Artificial Intelligence, Sacramento, CA, United States.
03 - 05 Nov 2003.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
The interpretation of medical evidence is normally presented in terms of a controlled, but diversely expressed specialist vocabulary and natural language phrases. Such informally expressed data require human intervention to ascertain its relevance in any specific case. In order to facilitate machine-based reasoning about the evidence gathered, additional interpretive semantics must be attached to the data; a shift from a merely data-intensive approach to a semantics-rich model of evidence. In this paper, we present a system to formally annotate medical images captured to aid the diagnosis and management of breast cancer, that enables a series of semantics-based operations to be performed. Our approach is grounded upon an imaging ontology specifying the domain knowledge and a Description Logic (DL) taxonomic inferential engine responsible for semantics-based reasoning and image retrieval.
Other
398_Hu_B.ps
- Other
More information
Published date: 2003
Additional Information:
Event Dates: 3-5, November 2003
Venue - Dates:
The 15th IEEE International Conference on Tools with Artificial Intelligence, Sacramento, CA, United States, 2003-11-03 - 2003-11-05
Organisations:
Web & Internet Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 258250
URI: http://eprints.soton.ac.uk/id/eprint/258250
PURE UUID: fd3a7ab2-dde9-40d5-a894-eb8e36e90979
Catalogue record
Date deposited: 18 Oct 2003
Last modified: 14 Mar 2024 06:06
Export record
Contributors
Author:
Bo Hu
Author:
Srinandan Dasmahapatra
Author:
Paul Lewis
Author:
Nigel Shadbolt
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics