Deep Learning in MR Image Processing
Investigative Magnetic Resonance Imaging
;
: 81-99, 2019.
Artigo
em Inglês
| WPRIM
| ID: wpr-764174
ABSTRACT
Recently, deep learning methods have shown great potential in various tasks that involve handling large amounts of digital data. In the field of MR imaging research, deep learning methods are also rapidly being applied in a wide range of areas to complement or replace traditional model-based methods. Deep learning methods have shown remarkable improvements in several MR image processing areas such as image reconstruction, image quality improvement, parameter mapping, image contrast conversion, and image segmentation. With the current rapid development of deep learning technologies, the importance of the role of deep learning in MR imaging research appears to be growing. In this article, we introduce the basic concepts of deep learning and review recent studies on various MR image processing applications.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Proteínas do Sistema Complemento
/
Imageamento por Ressonância Magnética
/
Melhoria de Qualidade
/
Aprendizado de Máquina
/
Aprendizagem
Idioma:
Inglês
Revista:
Investigative Magnetic Resonance Imaging
Ano de publicação:
2019
Tipo de documento:
Artigo
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