M-CBIR: A Medical Content-Based Image Retrieval System Using Metric Data-Structures

Descripción del Articulo

This 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 th...

Descripción completa

Detalles Bibliográficos
Autores: López Del Alamo, Cristian, Chuctaya, Herbert, Portugal, Christian, Beltrán, César, Gutiérrez, Juan, Túpac, Yván
Formato: artículo
Fecha de Publicación:2013
Institución:Universidad La Salle
Repositorio:ULASALLE-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulasalle.edu.pe:20.500.12953/35
Enlace del recurso:http://repositorio.ulasalle.edu.pe/handle/20.500.12953/35
Nivel de acceso:acceso restringido
Materia:Research Subject Categories::TECHNOLOGY::Information technology::Computer science
Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science
Descripción
Sumario:This 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.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).