M-CBIR: A medical content-based image retrieval system using metric data-structures

Herbert Chuctaya, Christian Portugal, Cesar Beltran, Juan Carlos Gutierrez Caceres, Cristian José Lopez Del Alamo, Yvan Tupac

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011
Páginas135-141
Número de páginas7
DOI
EstadoPublicada - 2012
Evento2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011 - Curico, Chile
Duración: 9 nov. 201111 nov. 2011

Serie de la publicación

NombreProceedings - International Conference of the Chilean Computer Science Society, SCCC
ISSN (versión impresa)1522-4902

Conferencia

Conferencia2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011
País/TerritorioChile
CiudadCurico
Período9/11/1111/11/11

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