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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011
Pages135-141
Number of pages7
DOIs
StatePublished - 2012
Event2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011 - Curico, Chile
Duration: 9 Nov 201111 Nov 2011

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
ISSN (Print)1522-4902

Conference

Conference2011 30th International Conference of the Chilean Computer Science Society, SCCC 2011
Country/TerritoryChile
CityCurico
Period9/11/1111/11/11

Keywords

  • CBIR; image processing; feature extraction; medical images;

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