Research progress of deep learning in nuclear myocardial perfusion imaging / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging
; (6): 116-119, 2024.
Article
en Zh
| WPRIM
| ID: wpr-1027924
Biblioteca responsable:
WPRO
ABSTRACT
In recent years, artificial intelligence (AI) technology represented by deep learning (DL) has developed rapidly, and smart medical care has become one of the most important application areas of AI. As the most accurate noninvasive test to assess myocardial blood flow, myocardial perfusion imaging (MPI) has important clinical values. At present, the use of DL algorithms to establish learning models for MPI images is still in the research stage, and more external verification and iterative updates are needed before it can be widely used in real time clinical practice. In this article, the application of DL algorithms in MPI is comprehensively elaborated to provide a basis and direction for further research.
Texto completo:
1
Índice:
WPRIM
Idioma:
Zh
Revista:
Chinese Journal of Nuclear Medicine and Molecular Imaging
Año:
2024
Tipo del documento:
Article