Application of pulse-coupled neural network combined with genetic algorithm on MR images of hypoxic-ischemic encephalopathy / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1019-1024, 2011.
Artigo
em Chinês
| WPRIM
| ID: wpr-359133
ABSTRACT
This paper is to provide a basis for the establishment of an early diagnostic system for hypoxic-ischemic encephalopathy (HIE) by performing segmentation and feature extraction of lesions on the MR images of neonatal babies with HIE. The segmentation on MR images of HIE based on the genetic algorithm (GA) combined with a pulse-coupled neural network (PCNN) were carried out. There were better segmentation results by using PCNN segmentation based on GA than PCNN segmentation with fixed parameters. The data suggested that a PCNN based on GA could provide effective assistance for diagnosis and research.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
/
Imageamento por Ressonância Magnética
/
Redes Neurais de Computação
/
Hipóxia-Isquemia Encefálica
/
Diagnóstico
/
Métodos
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Limite:
Feminino
/
Humanos
/
Masculino
/
Recém-Nascido
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2011
Tipo de documento:
Artigo
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