Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging

Through this work we propose a computational technique for the segmentation of a brain tumor, identified as meningioma (MGT), which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain: pre-processing, segmentation and post-proc...

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Autores:
Vera, Miguel
Huérfano, Yoleidy
Molina, Ángel Valentín
Valbuena, Oscar
Vivas, Marisela
Cuberos, María
Salazar, Williams
Vera, María Isabel
Borrero, Maryury
Hernández, Carlos
Barrera, Doris
Martínez, Luis Javier
Salazar, Juan
Gelvez, Elkin
Contreras, Yudith
Sáenz, Frank
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/2521
Acceso en línea:
http://hdl.handle.net/20.500.12442/2521
Palabra clave:
Magnetic resonance brain imaging
Brain tumor
Meningioma
Computational technique
Segmentation
Imágenes cerebrales por resonancia magnética
Tumor cerebral
Meningioma
Técnica computacional
Segmentación
Rights
License
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional