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

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...

Full description

Bibliographic Details
Main Authors: Han Woong Kim, Ha Eun Lee, KyeongTaek Oh, Sangwon Lee, Mijin Yun, Sun K. Yoo
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BioMedical Engineering OnLine
Subjects:
Alzheimer’s disease
F-18 FDG-PET/CT
Deep learning
Convolutional neural network
External validation
Feasibility study
Online Access:http://link.springer.com/article/10.1186/s12938-020-00813-z

Internet

http://link.springer.com/article/10.1186/s12938-020-00813-z

Similar Items