Abstract
Abstract Skin diseases are hazardous and often contagious, especially melanoma, nevus, and acne. Early detection of these skin diseases can be helpful during curing. The major challenge in skin disease diagnosis is that it needs an expert dermatologist to classify these skin diseases. Error during classification of the disease by the doctors can lead to inappropriate medications to the patient. In this work a skin disease detection method with random forest classifier is developed. The designed model successfully classifies the infected images with reliable accuracy values. A deep neural network is used for feature extraction of the diseased skin.
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