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.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-359133
Responsible library:
WPRO
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.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Magnetic Resonance Imaging
/
Neural Networks, Computer
/
Hypoxia-Ischemia, Brain
/
Diagnosis
/
Methods
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Female
/
Humans
/
Male
/
Infant, Newborn
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2011
Document type:
Article