Classification of adeno carcinoma, high squamous intraephithelial lesion, and squamous cell carcinoma in Pap smear images based on extreme learning machine.
Andriyan Bayu SuksmonoRiries RulaningtyasKuwat TriyanaImas Sukaesih SitanggangAnny Setijo RahajuEtty Hary KusumastutiAhda Nur Laila NabilaRizkya Nabila MaharaniDifa Fanani Ismayanto Katherine WinarnoAlfian Pramudita PutraPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2021)
Keyphrases
- cell nuclei
- extracted features
- cancer cells
- pigmented skin lesions
- microscope images
- skin lesion
- extreme learning machine
- classification accuracy
- blood cells
- multi category
- microscopy images
- feature extraction
- document classification
- support vector
- pattern recognition
- support vector machine
- fuzzy logic
- machine learning
- multiple classifiers
- support vector regression
- feedforward neural networks
- gabor filters
- classification algorithm
- linear combination
- feature selection
- learning algorithm
- genetic algorithm