Glioma Grade Classification Using CNNs and Segmentation With an Adaptive Approach Using Histogram Features in Brain MRIs.
Çagin ÖzkayaSeref SagirogluPublished in: IEEE Access (2023)
Keyphrases
- low grade
- brain tumors
- features extraction
- classification accuracy
- feature extraction
- feature vectors
- feature extraction and classification
- feature set
- feature space
- magnetic resonance images
- color and texture features
- extracted features
- classification method
- eeg signals
- textural features
- brain mri
- feature selection
- histogram analysis
- medical images
- classification models
- decision trees
- svm classifier
- image segmentation
- pixel classification
- support vector machine classification
- image features
- prostate cancer
- color features
- text classification
- mri scans
- support vector
- grey level
- segmentation method
- brain tissue
- mr images
- medical image analysis
- image analysis
- human brain
- grey level co occurrence matrix
- gray level co occurrence matrix
- brain atlas
- level set
- brain structures
- texture features