Application of deep learning to mild cognitive impairment conversion and classification / 医疗卫生装备
Chinese Medical Equipment Journal
; (6): 105-111, 2017.
Article
em Zh
| WPRIM
| ID: wpr-660049
Biblioteca responsável:
WPRO
ABSTRACT
Mild cognitive impairment (MCI) is a prodromal stage of dementia.Predicting MCI's conversion to Alzheimer's disease (AD) plays critical roles in preventing the progression of AD.Alzheimer's disease neuroimaging initiative (ADNI) was introduced briefly,which was a widely used neuroimaging database for the study on AD related diseases,and the application of machine learning algorithm was reviewed in MCI classification.Deep learning network,which transforms the original data into a higher level and more abstract expression,has shown great promise in MCI conversion and classification.Two main kinds of deep learning approaches were described,including supervised learning and unsupervised learning,and their new application was discussed in MCI conversion and classification based on structural magnetic resonance imaging (sMRI).Finally,the current limitations and future trends of deep learning in this area were explored.
Texto completo:
1
Índice:
WPRIM
Idioma:
Zh
Revista:
Chinese Medical Equipment Journal
Ano de publicação:
2017
Tipo de documento:
Article