A machine learning-based approach for the segmentation and classification of malignant cells in breast cytology images using gray level co-occurrence matrix (GLCM) and support vector machine (SVM).
Sana Ullah KhanNaveed IslamZahoor JanKhalid HaseebSyed Inayat Ali ShahMuhammad HanifPublished in: Neural Comput. Appl. (2022)
Keyphrases
- gray level co occurrence matrix
- textural features
- texture features
- breast tissue
- support vector machine svm
- machine learning
- texture images
- local binary pattern
- texture descriptors
- support vector machine
- grey level co occurrence matrix
- feature extraction
- texture analysis
- gray level
- segmentation algorithm
- pattern recognition
- face recognition
- skin lesion
- texture classification
- image data
- visual inspection
- grey level
- texture information
- feature selection
- image classification
- pixel classification
- gabor filters
- feature vectors
- image analysis
- multiscale
- input image
- edge detection
- breast cancer detection
- decision trees
- feature set