Multi-slice representational learning of convolutional neural network for Alzheimer’s disease classification using positron emission tomography

Abstract Background Alzheimer’s Disease (AD) is a degenerative brain disorder that often occurs in people over 65 years old. As advanced AD is difficult to manage, accurate diagnosis of the disorder is critical. Previous studies have revealed effective deep learning methods of classification. Howeve...

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Hauptverfasser: Han Woong Kim, Ha Eun Lee, KyeongTaek Oh, Sangwon Lee, Mijin Yun, Sun K. Yoo
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2020-09-01
Schriftenreihe:BioMedical Engineering OnLine
Schlagworte:
Alzheimer’s disease
F-18 FDG-PET/CT
Deep learning
Convolutional neural network
External validation
Feasibility study
Online Zugang:http://link.springer.com/article/10.1186/s12938-020-00813-z
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