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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Detalles Bibliográficos
Publicado en:Archivos Venezolanos de Farmacología y Terapéutica
Autores principales: 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
Lenguaje:Inglês
Publicado: Sociedad Venezolana de Farmacología Clínica y Terapéutica 2018
Materias:
Medicina
mor
Cerebral tu
Segmentation
Low grade glioma
Grade II astrocytoma
Acceso en línea:https://www.redalyc.org/articulo.oa?id=55963209007
https://www.redalyc.org/journal/559/55963209007/
https://www.redalyc.org/journal/559/55963209007/html/
https://www.redalyc.org/journal/559/55963209007/55963209007.epub
https://www.redalyc.org/journal/559/55963209007/movil
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