AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction

The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzheimer's Disease (AD) is critical for effective intervention and patient selection in clinical trials. Different biomarkers including neuroimaging have been developed to serve the purpose. With extensi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Fei Gao, Hyunsoo Yoon, Yanzhe Xu, Dhruman Goradia, Ji Luo, Teresa Wu, Yi Su
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2020-01-01
Σειρά:	NeuroImage: Clinical
Θέματα:	Deep learning Transfer learning Biomarker AD MCI
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S2213158220301273
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