Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression

Abstract excerpt

Abstract Introduction Genome‐wide association studies (GWAS) for late onset Alzheimer's disease (AD) may miss genetic variants relevant for delineating disease stages when using clinically defined case/control as a phenotype due to its loose definition and heterogeneity. Methods We use a transfer learning technique to train three‐dimensional convolutional neural network (CNN) models based on structural magnetic...

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