Deep Learning for Quantitative Cardiac MRI.
AJR Am J Roentgenol
; 214(3): 529-535, 2020 03.
Article
em En
| MEDLINE
| ID: mdl-31670597
ABSTRACT
OBJECTIVE. The recent advancement of deep learning techniques has profoundly impacted research on quantitative cardiac MRI analysis. The purpose of this article is to introduce the concept of deep learning, review its current applications on quantitative cardiac MRI, and discuss its limitations and challenges. CONCLUSION. Deep learning has shown state-of-the-art performance on quantitative analysis of multiple cardiac MRI sequences and holds great promise for future use in clinical practice and scientific research.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Doenças Cardiovasculares
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Aprendizado Profundo
Limite:
Humans
Idioma:
En
Revista:
AJR Am J Roentgenol
Ano de publicação:
2020
Tipo de documento:
Article