Multiple Sclerosis Detection via Machine Learning Algorithm, Accurate Simulated Database 3D MRI to 2D Images, using value of Binary Pattern Classification - A Case Study.
Mohammad Naser-MoghadasiGábor FazekasPublished in: CogInfoCom (2019)
Keyphrases
- pattern classification
- learning algorithm
- multiple sclerosis
- lesion segmentation
- pattern recognition
- feature extraction
- machine learning
- pattern classification problems
- discriminant embedding
- brain mri
- high quality
- data sets
- magnetic resonance images
- image features
- active learning
- training data
- neural network
- experimental design
- white matter
- computer vision