Research on the application of convolution neural network in the diagnosis of Alzheimer's disease / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 169-177, 2021.
Artículo
en Chino
| WPRIM
| ID: wpr-879263
ABSTRACT
With the wide application of deep learning technology in disease diagnosis, especially the outstanding performance of convolutional neural network (CNN) in computer vision and image processing, more and more studies have proposed to use this algorithm to achieve the classification of Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal cognition (CN). This article systematically reviews the application progress of several classic convolutional neural network models in brain image analysis and diagnosis at different stages of Alzheimer's disease, and discusses the existing problems and gives the possible development directions in order to provide some references.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Imagen por Resonancia Magnética
/
Redes Neurales de la Computación
/
Enfermedad de Alzheimer
/
Disfunción Cognitiva
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
/
Revisiones Sistemáticas Evaluadas
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2021
Tipo del documento:
Artículo
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