Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.
Shen LuYong XiaWeidong CaiMichael J. FulhamDavid Dagan FengPublished in: Comput. Medical Imaging Graph. (2017)
Keyphrases
- fdg pet
- random forest
- mild cognitive impairment
- pet ct
- pet images
- high degree of accuracy
- positron emission tomography
- support vector machine
- ct images
- brain images
- normal controls
- decision trees
- magnetic resonance imaging
- clinical trials
- mr images
- fold cross validation
- medical images
- ensemble methods
- lung cancer
- cancer classification
- magnetic resonance images
- feature set
- base classifiers
- brain connectivity
- lymph nodes
- early diagnosis
- wide range
- multi class
- image reconstruction
- machine learning
- magnetic resonance
- early detection
- svm classifier
- image analysis
- feature selection
- treatment planning
- mr imaging
- eeg data
- early stage
- human brain