Ensemble deep learning models enhance early diagnosis of Alzheimer's disease using neuroimaging data
EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...
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