An unsupervised learning approach to diagnosing Alzheimer's disease using brain magnetic resonance imaging scans.
Yuyang LiuSuvodeep MazumdarPeter A. BathPublished in: Int. J. Medical Informatics (2023)
Keyphrases
- magnetic resonance imaging
- unsupervised learning
- magnetic resonance images
- medical images
- partial volume effects
- multiple sclerosis
- disease progression
- mri data
- brain tissue
- diffusion tensor images
- computer aided diagnosis
- single photon emission computed tomography
- medical imaging
- brain images
- mri images
- brain segmentation
- supervised learning
- early diagnosis
- magnetic resonance
- brain structures
- mr images
- machine learning
- human brain
- dimensionality reduction
- white matter
- beating heart
- anatomical structures
- expectation maximization
- brain tumors
- clinical applications
- brain activity
- brain mri
- brain imaging
- high temporal resolution
- feature selection
- medical image analysis
- object recognition
- image processing
- diffusion tensor
- eeg signals
- diagnostic tool
- ct images
- image registration
- three dimensional
- lesion segmentation