DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.
Mengjin DongLong XieSandhitsu R. DasJiancong WangLaura E. M. WisseRobin DeFloresDavid A. WolkPaul A. YushkevichPublished in: CoRR (2020)
Keyphrases
- neural network
- magnetic resonance imaging
- multiple sclerosis
- medical images
- online learning
- clinical studies
- artificial neural networks
- back propagation
- missing data
- magnetic resonance images
- train a neural network
- high school
- noisy data
- white matter
- noise level
- intensity distribution
- noise reduction
- random noise
- cortical thickness
- fault diagnosis
- neural network is trained
- teacher education
- computer programming
- early diagnosis
- learning environment
- gaussian noise
- computer aided diagnosis
- learning analytics
- signal to noise ratio
- learning process
- mri data
- clinical applications
- neural network model
- mr imaging
- distance learning
- mr images
- higher education
- high resolution
- low grade