Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging

Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain. T...

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Autores:: Vera, Miguel
Huérfano, Yoleidy
Valbuena, Oscar
Contreras, Yudith
Cuberos, María
Vivas, Marisela
Salazar, Williams
Vera, María Isabel
Borrero, Maryury
Hernández, Carlos
Barrera, Doris
Molina, Ángel Valentín
Martínez, Luis Javier
Salazar, Juan
Gelvez, Elkin
Sáenz, Frank

Tipo de recurso:

Fecha de publicación:: 2018

Institución:: Universidad Simón Bolívar

Repositorio:: Repositorio Digital USB

Idioma:: eng