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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Detalles Bibliográficos
Autores principales: Jin, Leiming, Zhao, Kun, Zhao, Yan, Che, Tongtong, Li, Shuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965366/
https://www.ncbi.nlm.nih.gov/pubmed/35370588
http://dx.doi.org/10.3389/fninf.2022.843566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965366/
https://www.ncbi.nlm.nih.gov/pubmed/35370588
http://dx.doi.org/10.3389/fninf.2022.843566

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