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Authors: Olga Ferrer 1 ; Vinicius Duval 2 ; Jaime Delgado 3 ; Claudio Rolim 2 and Ruben Tous 3

Affiliations: 1 University of La Laguna, UNESCO, Spain ; 2 University do Rio Grande do Sul, Brazil ; 3 Universitat Politecnica de Catalunya (UPC-BARCELONATECH), Spain

ISBN: 978-989-674-016-0

ISSN: 2184-4305

Keyword(s): Optical Biopsy, Query by image, ISO-15938-12, MPEG Query Format, MPQF, ISO 24800-3, JPSearch, JPEG Query Format, JPQF, Artificial Intelligence, Multimedia standard.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cloud Computing ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; e-Health ; Enterprise Information Systems ; Health Information Systems ; Platforms and Applications ; Semantic Interoperability ; Sensor Networks ; Signal Processing ; Soft Computing ; Support for Clinical Decision-Making ; Telemedicine

Abstract: The use of Optical Biopsies-OB (in the present case Confocal endomicroscopy-CEM) is limited due to difficulties to interpret images. The OB-CEM are taken by endoscopists, not trained in microscopic mor-phology which is the domain of the surgical pathology. To gain diagnostic confidence the endoscopists could consult the images to a pathologist or could use the technique proposed in the paper. That is, to search for similar images on Internet to compare the diagnosis. The present paper is a positioning paper of how to build a CEM-image metadata to be used by the multimedia standards ISO-15938-12:2008 and ISO-24800-3 in order to search on line using a “query by image”. Metadata semantics based on Kudo colorectal crypt architecture was used for annotation or automatic image extraction. The training set was composed of 25 OB-CEM chromo-colonoscopy images taken with a FICE (Fujinon Intelligent Chromoendoscopy). Those parameters were, whenever possible, automatically extracted from the im age and included in the metadata for image mining. Future developments will annotate histological images is such a way that the query could also retrieve the histological image. (More)

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Paper citation in several formats:
Ferrer O.; Duval V.; Delgado J.; Rolim C.; Tous R. and (2010). QUERY BY IMAGE MEDICAL TRAINING - Optical Biopsy with Confocal Endoscopy (OB-CEM).In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 166-172. DOI: 10.5220/0002691601660172

@conference{healthinf10,
author={Olga Ferrer and Vinicius Duval and Jaime Delgado and Claudio Rolim and Ruben Tous},
title={QUERY BY IMAGE MEDICAL TRAINING - Optical Biopsy with Confocal Endoscopy (OB-CEM)},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={166-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002691601660172},
isbn={978-989-674-016-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - QUERY BY IMAGE MEDICAL TRAINING - Optical Biopsy with Confocal Endoscopy (OB-CEM)
SN - 978-989-674-016-0
AU - Ferrer, O.
AU - Duval, V.
AU - Delgado, J.
AU - Rolim, C.
AU - Tous, R.
PY - 2010
SP - 166
EP - 172
DO - 10.5220/0002691601660172

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