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Temporal Correlation Structure Learning for MCI Conversion Prediction
- Source :
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009304, MICCAI (3)
- Publication Year :
- 2018
- Publisher :
- Springer International Publishing, 2018.
-
Abstract
- In Alzheimer’s research, Mild Cognitive Impairment (MCI) is an important intermediate stage between normal aging and Alzheimer’s. How to distinguish MCI samples that finally convert to AD from those do not is an essential problem in the prevention and diagnosis of Alzheimer’s. Traditional methods use various classification models to distinguish MCI converters from non-converters, while the performance is usually limited by the small number of available data. Moreover, previous methods only use the data at baseline time for training but ignore the longitudinal information at other time points along the disease progression. To tackle with these problems, we propose a novel deep learning framework that uncovers the temporal correlation structure between adjacent time points in the disease progression. We also construct a generative framework to learn the inherent data distribution so as to produce more reliable data to strengthen the training process. Extensive experiments on the ADNI cohort validate the superiority of our model.
- Subjects :
- Computer science
Process (engineering)
02 engineering and technology
Normal aging
Machine learning
computer.software_genre
Sensitivity and Specificity
Article
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Image Interpretation, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
Humans
Cognitive Dysfunction
Cognitive impairment
Structure learning
business.industry
Deep learning
Disease progression
Brain
Reproducibility of Results
Temporal correlation
Magnetic Resonance Imaging
Disease Progression
020201 artificial intelligence & image processing
Artificial intelligence
Construct (philosophy)
business
computer
Algorithms
030217 neurology & neurosurgery
Subjects
Details
- ISBN :
- 978-3-030-00930-4
- ISBNs :
- 9783030009304
- Database :
- OpenAIRE
- Journal :
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009304, MICCAI (3)
- Accession number :
- edsair.doi.dedup.....7eb86dd929ef6f57c9db828126d22b74