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A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural Networks

Crossref DOI link: https://doi.org/10.1007/s13369-023-07973-9

Published Online: 2023-06-09

Published Print: 2024-03

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

Authors

SinhaRoy, Rajarshi https://orcid.org/0000-0002-8139-1247
Sen, Anupam
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Text and Data Mining valid from 2023-06-09

Version of Record valid from 2023-06-09
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Article History

Received: 25 September 2022

Accepted: 23 May 2023

First Online: 9 June 2023

Declarations

:

: The authors declared that they have no conflicts of interest in this research. The authors certify that they are free of any known financial conflicts of interest or close personal ties that might have looked to have affected the research presented in this study.

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