Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

Abstract Background In Alzheimer’s Diseases (AD) research, multimodal imaging analysis can unveil complementary information from multiple imaging modalities and further our understanding of the disease. One application is to discover disease subtypes using unsupervised clustering. However, existing...

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Bibliographic Details
Main Authors: Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Multiview learning
Multimodal imaging
Image-driven subtypes
Online Access:https://doi.org/10.1186/s12859-022-04946-x

Internet

https://doi.org/10.1186/s12859-022-04946-x

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