MRI brain tumor segmentation using informative feature vectors and kernel dictionary learning.
Seyedeh Mahya MousaviMohammad MostafaviPublished in: CoRR (2023)
Keyphrases
- brain tumor segmentation
- dictionary learning
- feature vectors
- feature space
- sparse coding
- sparse representation
- magnetic resonance images
- feature extraction
- euclidean distance
- support vector machine
- gaussian mixture model
- brain tumors
- image patches
- image features
- data sets
- face recognition
- input data
- face images
- image representation
- generative model
- image classification
- high resolution
- high dimensional
- training set
- training data
- similarity measure
- learning algorithm