Title:
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Query by image medical training: optical biopsy with confocal endoscopy (OB-CEM)
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Author:
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Ferrer-Roca, Olga; Duval, Vinicius; Delgado Mercè, Jaime; Rolim, Claudio; Tous Liesa, Rubén
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes |
Abstract:
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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 morphology
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 image 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. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors -Àrees temàtiques de la UPC::Ciències de la visió::Òptica física -Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Artificial intelligence -Multimedia -Intel·ligència artificial -Multimèdia -- Congressos |
Rights:
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Document type:
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Article - Published version Conference Object |
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