OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases

B. Kalpana,A.K. Reshmy,S. Senthil Pandi,S. Dhanasekaran

Biomedical Signal Processing and Control（2023）

引用 7|浏览2

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摘要

•Segmented images into respective diseased classes by analyzing feature characteristics.•ESVMKRF model are automatically tuned using HEAO algorithm.•Performance metrics namely accuracy, precision, sensitivity, specificity and f-1 score.

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关键词

Skin cancer,Prediction,Segmentation,Ensemble support vector machine kernel random forest,Hybrid equilibrium Aquila optimization algorithm

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