Mild Cognitive Impairment Diagnosis and Detecting Possible Labeling Errors in Alzheimer's Disease with an Unsupervised Learning-based Approach.
Gabriel A. LimaRodrigo P. MonteiroPaulo RochaAnthony J. da C. C. LinsCarmelo J. A. Bastos FilhoPublished in: SSCI (2020)
Keyphrases
- early diagnosis
- unsupervised learning
- mild cognitive impairment
- computer aided
- computer aided diagnosis
- early stage
- high degree of accuracy
- early detection
- ad patients
- supervised learning
- neurological disorders
- cardiovascular disease
- healthy controls
- brain connectivity
- brain images
- semi supervised
- normal controls
- expectation maximization
- prostate cancer
- medical images
- decision making
- medical imaging
- image segmentation
- wide range
- image analysis
- ground truth
- skin lesion
- infectious disease
- medical diagnosis
- model selection