A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association

Published Date: Jun 11, 2019

Abstract

INTRODUCTION: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia.

Authors

Hongming Li

6Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Mohamad Habes

Biggs Alzheimer's Institute, University of Texas San Antonio Health Science Center, USA.
David A Wolk

Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Yong Fan

CPB/ECMO Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.

Keywords

Alzheimer Disease Deep Learning Dementia Disease Progression Hippocampus Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Models, Neurological Neuroimaging

External Resources

View on PubMed Access via DOI PubMed (31201098)

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.

Abstract

Authors

Keywords

External Resources

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