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A quantitative analysis of Alzheimer’s Disease and construction of an early Alzheimer’s detection deep learning system (EADDLS) using MRI data via machine learning along with ADmod: spatiotemporal-aware brain-amyloidβ growth model, using deep encoder-decoder networks about MRI

2024-08-07

Abstract excerpt

Alzheimer’s disease (AD) presents a significant societal challenge, with no current cure and an increasing prevalence among older adults. This study addresses the pressing need for early detection by harnessing the potential of machine learning applied to longitudinal MRI data. The dataset, sourced from the Open Access Series of Imaging Studies (OASIS) project, comprises MRI records of 150 subjects aged 60 to 96,...

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Literature Corpus work: 32bce899-dc2e-5b9b-9423-ec841c9e0b66
DOI: 10.1101/2024.08.02.24311435

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