3D - Patch Based Machine Learning Systems for Alzheimer’s Disease classification via 18F-FDG PET Analysis

3D - Patch Based Machine Learning Systems for Alzheimer’s Disease classification via 18F-FDG PET Analysis

abstract: Alzheimer’s disease (AD), is a chronic neurodegenerative disease that usually starts slowly and gets worse over time. It is the cause of 60% to 70% of cases of dementia. There is growing interest in identifying brain image biomarkers that help evaluate AD risk pre-symptomatically. High-dim...

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Bibliographic Details
Other Authors: Srivastava, Anant (Author)
Format: Dissertation
Language:English
Published: 2017
Subjects:
Computer science
Medical imaging
Neurosciences
adaboost classifier
alzheimer's disease
dimensionality reduction
machine learning
max-pooling
sparse coding
Online Access:http://hdl.handle.net/2286/R.I.44163

Internet

http://hdl.handle.net/2286/R.I.44163

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