Fan Liu1, Jianwei Yan2, Wantao Wang2, Jian Liu2, *, Junying Li3, Alan Yang4
CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 801-816, 2020, DOI:10.32604/cmc.2020.07039
Abstract Skin lesion recognition is an important challenge in the medical field. In this
paper, we have implemented an intelligent classification system based on convolutional
neural network. First of all, this system can classify whether the input image is a
dermascopic image with an accuracy of 99%. And then diagnose the dermoscopic image
and the non-skin mirror image separately. Due to the limitation of the data, we can only
realize the recognition of vitiligo by non-skin mirror. We propose a vitiligo recognition
based on the probability average of three structurally identical CNN models. The method
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