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It showed that the proposed model had achieved an accuracy of 96.21%, as it predicted correctly a collection of 330 images of Melanoma, 350 images of Vascular lesions, 280 images of Dermatofibroma, 330 images of melanocytic nevi, 270 images of benign keratosis-like, 360 images to basal cell carcinoma and 300 images to actinic keratoses class

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