A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised learning.
Nidhi GuptaPritee KhannaPublished in: Signal Process. Image Commun. (2017)
Keyphrases
- supervised learning
- brain tumors
- magnetic resonance images
- feature extraction
- class labels
- detection algorithm
- learning algorithm
- thresholding method
- computer aided
- mr images
- feature set
- endoscopic images
- machine learning
- edge detection
- active learning
- feature space
- manual segmentation
- medical images
- threshold selection
- ground truth
- training set
- energy minimization
- magnetic resonance
- training data
- medical image analysis
- image segmentation
- cad systems