Classification of Cervical Intraepithelial Neoplasia Based on Combination of GLCM and L*a*b* on Colposcopy Image Using Machine Learning.
Zendi Zakaria Raga PermanaAgung Wahyu SetiawanPublished in: ICAIIC (2024)
Keyphrases
- machine learning
- image classification
- grey level
- cervical cancer
- grey level co occurrence matrix
- textural features
- machine learning methods
- image data
- image features
- input image
- image representation
- pattern recognition
- image retrieval
- supervised machine learning
- image content
- single image
- multiscale
- feature extraction
- classification accuracy
- support vector machine
- high resolution
- image analysis
- machine learning algorithms
- computer vision
- text classification
- image regions
- texture features
- pixel classification
- learning algorithm
- gray level co occurrence matrix
- image processing
- decision trees
- image segmentation
- edge detection
- supervised learning
- anisotropic diffusion
- training set
- multiple classifier systems
- feature vectors
- image quality
- preprocessing stage
- cancer detection
- confocal images