Segmentation of medical images by region growing

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
Páginas441-444
Número de páginas4
DOI
EstadoPublicada - 2008
Publicado de forma externa
Evento2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008 - Las Vegas, NV, Estados Unidos
Duración: 13 jul. 200815 jul. 2008

Serie de la publicación

Nombre2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Conferencia

Conferencia2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
País/TerritorioEstados Unidos
CiudadLas Vegas, NV
Período13/07/0815/07/08

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