A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease.
Shuo LiuYi CaoJunxiu LiuXuemei DingDamien CoylePublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- normal controls
- novelty detection
- mild cognitive impairment
- high degree of accuracy
- early diagnosis
- brain images
- clinical trials
- brain connectivity
- anomaly detection
- computer aided
- concept drift
- early stage
- computer aided diagnosis
- signal processing
- wide range
- image processing
- computer vision
- magnetic resonance
- management system