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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Publicado en:	Archivos Venezolanos de Farmacología y Terapéutica Vol. 37; no. 4; pp. 349 - 355
Autores principales:	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
Formato:	Artículo
Publicado:	Archivos Venezolanos de Farmacologia y Terapeutica 10/1/2018
Materias:	Magnetic resonance imaging Image segmentation Computed tomography Gliomas Brain tumors
Acceso en línea:	Ver este registro en EBSCOhost