Progress in biomedical data analysis based on deep learning / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 349-357, 2020.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-828160
Biblioteca responsável:
WPRO
ABSTRACT
Traditional biomedical data analysis technology faces enormous challenges in the context of the big data era. The application of deep learning technology in the field of biomedical analysis has ushered in tremendous development opportunities. In this paper, we reviewed the latest research progress of deep learning in the field of biomedical data analysis. Firstly, we introduced the deep learning method and its common framework. Then, focusing on the proposal of biomedical problems, data preprocessing method, model building method and training algorithm, we summarized the specific application of deep learning in biomedical data analysis in the past five years according to the chronological order, and emphasized the application of deep learning in medical assistant diagnosis. Finally, we gave the possible development direction of deep learning in the field of biomedical data analysis in the future.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Tecnologia Biomédica
/
Aprendizado Profundo
/
Análise de Dados
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2020
Tipo de documento:
Artigo