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Deep Learning for Medical Image Analysis by Dinggang Shen, Hayit Greenspan, S. Kevin Zhou

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Chapter 15

Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease

Vamsi K. Ithapu; Vikas Singh; Sterling C. Johnson,    University of Wisconsin–Madison, Madison, WI, United StatesWilliam S. Middleton Memorial Hospital, Madison, WI, United States

Abstract

There is growing body of research devoted to designing imaging-based biomarkers that identify Alzheimer's disease (AD) in its prodromal stage using statistical machine learning methods. Recently several authors investigated how AD clinical trials can be made more efficient using predictive measures from such computational methods. For instance, identifying Mild Cognitive Impaired who are most likely to decline during a trial, and thus most ...

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