Research progress of deep learning in early diagnosis of Alzheimer’s disease
10.3760/cma.j.cn121382-20240321-00311
- VernacularTitle:深度学习在阿尔茨海默病早期诊断中的研究进展
- Author:
Jinping SUN
1
;
Aili LIU
Author Information
1. 天津医科大学生物医学工程与技术学院，天津 300070
- Keywords:
Alzheimer’s disease;
Deep learning;
Early diagnosis
- From:
International Journal of Biomedical Engineering
2024;47(3):275-280
- CountryChina
- Language:Chinese
-
Abstract:
Alzheimer’s disease (AD) is a neurodegenerative disease that has become increasingly serious with the aging of human society. It has become an important factor that hinders the development of society, making early diagnosis and intervention of great significance. In recent years, with the continuous development of computer technology, deep learning has shown superior performance in processing AD big data, identifying effective detection indices, and improving detection accuracy. In this paper, the research progress of deep learning in early diagnosis of AD in areas such as neuroimaging data, electroencephalogram, blood and genetic data, and multimodal fusion data was mainly introduced. Common deep learning models were summarized, and future research directions in this field were discussed.
