Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment

Exploring individual brain atrophy patterns is of great value in precision medicine for Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the current individual brain atrophy detection models are deficient. Here, we proposed a framework called generative adversarial network...

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Detalles Bibliográficos
Autores principales: Shi, Rong, Sheng, Can, Jin, Shichen, Zhang, Qi, Zhang, Shuoyan, Zhang, Liang, Ding, Changchang, Wang, Luyao, Wang, Lei, Han, Ying, Jiang, Jiehui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875916/
https://www.ncbi.nlm.nih.gov/pubmed/36394351
http://dx.doi.org/10.1002/hbm.26146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875916/
https://www.ncbi.nlm.nih.gov/pubmed/36394351
http://dx.doi.org/10.1002/hbm.26146

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