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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

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 i mage 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. and Tous, R. (2010). QUERY BY IMAGE MEDICAL TRAINING - Optical Biopsy with Confocal Endoscopy (OB-CEM). In Proceedings of the Third International Conference on Health Informatics - HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0; ISSN 2184-4305, 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 - HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={166-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002691601660172},
isbn={978-989-674-016-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Health Informatics - HEALTHINF, (BIOSTEC 2010)
TI - QUERY BY IMAGE MEDICAL TRAINING - Optical Biopsy with Confocal Endoscopy (OB-CEM)
SN - 978-989-674-016-0
IS - 2184-4305
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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