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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Detalhes bibliográficos
Publicado no:Archivos Venezolanos de Farmacología y Terapéutica
Main Authors: Miguel Vera, Yoleidy Huérfano, Oscar Valbuena, Yudith Contreras, María Cuberos, Marisela Vivas, Williams Salazar, María Isabel Vera, Maryury Borrero, Carlos Hernández, Doris Barrera, Ángel Valentín Molina, Luis Javier Martínez, Juan Salazar, Elkin Gelvez, Frank Sáenz
Formato: Artigo
Idioma:Inglês
Publicado em: Sociedad Venezolana de Farmacología Clínica y Terapéutica 2018
Assuntos:
Medicina
mor
Cerebral tu
Segmentation
Low grade glioma
Grade II astrocytoma
Acesso em linha:https://www.redalyc.org/articulo.oa?id=55963209007
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