objective assessment of skin repigmentation using a multilayer perceptron

Background: vitiligo is a pathology that causes the appearance of achromic macules on the skinthat can spread on to other areas of the body. it is estimated that it affects 1.2% of the worldpopulation and can disrupt the mental state of people in whom this disease has developed, generatingnegative feelings that can become suicidal in the worst of cases. the present work focuses on thedevelopment of a support tool that allows to objectively quantifying the repigmentation of the skin.methods: we propose a novel method based on artificial neural networks that use characteristics ofthe interaction of light with the skin to determine areas of healthy skin and skin with vitiligo. weused photographs of specific areas of skin containing vitiligo. we select as independent variables:the type of skin, the amount of skin with vitiligo and the amount of repigmented skin. consideringthese variables, the experiments were organized in an orthogonal table. we analyzed the result ofthe method based on three parameters (sensitivity, specificity, and f1‑score) and finally, its resultswere compared with other methods proposed in similar research. results: the proposed methoddemonstrated the best performance of the three methods, and it also showed its capability to detecthealthy skin and skin with vitiligo in areas up to 1 × 1 pixels. conclusion: the results show thatthe proposed method has the potential to be used in clinical applications. it should be noted that theperformance could be significantly improved by increasing the training patterns.