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dc.contributor.authorLópez Del Alamo, Cristian
dc.contributor.authorChuctaya, Herbert
dc.contributor.authorPortugal, Christian
dc.contributor.authorBeltrán, César
dc.contributor.authorGutiérrez, Juan
dc.contributor.authorTúpac, Yván
dc.description.abstractThis work is focused on the modeling and development of a CBIR (Content-based image retrieval) system applied to the recovery of digital medical images of a human body, denominated M-CBIR. This model is composed on two methodologies: features extraction techniques and metric data structures. When this set of techniques is applied to the search of different human body regions, it can retrieve the most relevant similar images to a query image. A real database of medical images composed of 772 medical studies was used to compare the robustness of the extraction techniques and evaluate the performance of the system, through four different extractors. The objective of this work will result in a digital atlas of human body for medical radiological center. Finally, analysis and conclusions are also discussed.es_ES
dc.publisher2011 30th International Conference of the Chilean Computer Science Societyes_ES
dc.sourceRepositorio Institucional - ULASALLEes_ES
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technology::Computer sciencees_ES
dc.titleM-CBIR: A Medical Content-Based Image Retrieval System Using Metric Data-Structureses_ES
dc.identifier.journalIEEE Xplore digital Libraryes_ES
dc.description.peer-reviewDoble- Ciegoes_ES
dc.subject.ocdeResearch Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer sciencees_ES

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