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.
Artículo
en Chino
| 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:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Procesamiento de Imagen Asistido por Computador
/
Imagen por Resonancia Magnética
/
Redes Neurales de la Computación
/
Hipoxia-Isquemia Encefálica
/
Diagnóstico
/
Métodos
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Límite:
Femenino
/
Humanos
/
Masculino
/
Recién Nacido
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2011
Tipo del documento:
Artículo
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