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The study develops prognostic models for melanoma prediction using preprocessing and a Hybrid Feature Extraction framework combining HOG, LBP and SURF. OSELM-CEEMDAN is used for prediction and achieves an AUC of 99.86%.
Melanoma is an aggressive and potentially deadly form of skin cancer. Early diagnosis is important because delayed or incorrect diagnosis can reduce clinical outcomes. Dermoscopy and computerised image analysis can assist in early melanoma detection.