Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility

This paper proposes a non-linear computational technique for the segmentation of epidural hematomas (EDH), present in 7 multilayer computed tomography brain imaging databases. This technique consists of 3 stages developed in the three-dimensional domain, namely: pre-processing, segmentation and quan...

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Autores:
Salazar, Juan
Vera, Miguel
Huérfano, Yoleidy
Valbuena, Oscar
Salazar, Williams
Vera, María Isabel
Gelvez, Elkin
Contreras, Yudith
Borrero, Maryury
Vivas, Marisela
Barrera, Doris
Hernández, Carlos
Molina, Ángel Valentín
Martínez, Luis Javier
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:20.500.12442/2522
Acceso en línea:
http://hdl.handle.net/20.500.12442/2522
Palabra clave:
Brain Tomography
Epidural Hematomas
Nonlinear Computational Technique
Smart Operators
Segmentation
Tomografía cerebral
Hematomas epidurales
Técnica computacional no lineal
Operadores inteligentes
Segmentación
Rights
License
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional