Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical Color Cluster Features Using an Ensemble of Machine Learning Techniques

(1) Background: An approach for skin cancer recognition and classification by implementation of a novel combination of features and two classifiers, as an auxiliary diagnostic method, is proposed. (2) Methods: The predictions are made by k-nearest neighbor with a 5-fold cross validation algorithm an...

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Autores principales:	Simona Moldovanu, Felicia Anisoara Damian Michis, Keka C. Biswas, Anisia Culea-Florescu, Luminita Moraru
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	skin cancer recognition k-nearest neighbor Higuchi fractal dimensions Radial basis function neural network Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/7b0ed21fc05d43cfa9992e87f89b22e3
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Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical Color Cluster Features Using an Ensemble of Machine Learning Techniques

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