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Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Crossref DOI link: https://doi.org/10.1186/s13195-021-00837-0

Published Online: 2021-05-24

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Katabathula, Sreevani

Wang, Qinyong

Xu, Rong https://orcid.org/0000-0003-3127-4795
Funding

Funding for this research was provided by:

National Institute on Aging (AG057557,AG061388, AG062272)
License Information

Text and Data Mining valid from 2021-05-24

Version of Record valid from 2021-05-24
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Article History

Received: 16 December 2020

Accepted: 27 April 2021

First Online: 24 May 2021

Declarations

:

: Ethics approval and informed consents were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).

: Not applicable.

: The authors declare that they have no competing interests.

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