Segmentation of medical images by region growing

Itzel Abundez Barrera, Citlalih Gutiérrez Estrada, Sergio Díaz Zagal, Martín De Jesús Nieto Perez

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

2 Scopus citations

Abstract

The possibility of combining different technologies and developing better performing systems that offer quality results leads to the creation of systems with enhanced adaptation and analysis. Such analysis allows the interaction with previously evaluated techniques, providing reliable, successful results. Such is the case for the research work detailed in this article, which is focused on a technique that allows reusing previously analyzed and formalized information with the support of the Unified Modeled Language (UML). Information is handled in modules aimed to generate the segmentation of medical images without intervention of a specialist. The purpose is to deliver regions of interest for the early detection of cervical cancer.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
Pages441-444
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008 - Las Vegas, NV, United States
Duration: 13 Jul 200815 Jul 2008

Publication series

Name2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Conference

Conference2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period13/07/0815/07/08

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