Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images.
Tran Anh TuanPham The BaoJin Young KimJoão Manuel R S TavaresPublished in: The International journal of neuroscience (2020)
Deep learning gives prominent results for segmentation and feature extraction in medical image processing. The combination of XGboost and SVM improves the results obtained.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- machine learning
- healthcare
- resting state
- white matter
- cognitive decline
- magnetic resonance
- functional connectivity
- magnetic resonance imaging
- multiple sclerosis
- cerebral ischemia
- optical coherence tomography
- brain injury
- blood brain barrier
- mild cognitive impairment