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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Vydáno v:	Human brain mapping Ročník 44; číslo 3; s. 1129 - 1146
Hlavní autoři:	Shi, Rong, Sheng, Can, Jin, Shichen, Zhang, Qi, Zhang, Shuoyan, Zhang, Liang, Ding, Changchang, Wang, Luyao, Wang, Lei, Han, Ying, Jiang, Jiehui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 15.02.2023
Témata:	Alzheimer Disease - pathology Alzheimer's disease Atrophy Atrophy - diagnostic imaging Atrophy - pathology Automation Brain Brain - diagnostic imaging Brain - pathology Cognitive ability Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - pathology Deep Learning Dementia GAN Generative adversarial networks Humans Image processing Image reconstruction Impairment Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Neurodegenerative diseases Neuroimaging Precision medicine Signal to noise ratio Signs and symptoms Subgroups precision medicine magnetic resonance imaging GAN Alzheimer's disease
ISSN:	1065-9471, 1097-0193, 1097-0193
On-line přístup:	Získat plný text
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