A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data

A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data

Multimodality neuroimages have been widely applied to diagnose mild cognitive impairment (MCI). However, the missing data problem is unavoidable. Most previously developed methods first train a generative adversarial network (GAN) to synthesize missing data and then train a classification network wi...

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Bibliographic Details
Main Authors: Leiming Jin, Kun Zhao, Yan Zhao, Tongtong Che, Shuyu Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroinformatics
Subjects:
MCI
GAN
classification
incomplete data
multimodality
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.843566/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.843566/full

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