TY - JOUR
T1 - Objective assessment of skin repigmentation using a multilayer perceptron
AU - Chica, Juan
AU - Zaputt, Sayonara
AU - Encalada, Javier
AU - Salamea, Christian
AU - Montalvo, Melissa
N1 - Publisher Copyright:
© 2019 Journal of Medical Signals and Sensors.
PY - 2019/7/19
Y1 - 2019/7/19
N2 - Background: Vitiligo is a pathology that causes the appearance of achromic macules on the skin that can spread on to other areas of the body. It is estimated that it affects 1.2% of the world population and can disrupt the mental state of people in whom this disease has developed, generating negative feelings that can become suicidal in the worst of cases. The present work focuses on the development 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 of the interaction of light with the skin to determine areas of healthy skin and skin with vitiligo. We used 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. Considering these variables, the experiments were organized in an orthogonal table. We analyzed the result of the method based on three parameters (sensitivity, specificity, and F1-Score) and finally, its results were compared with other methods proposed in similar research. Results: The proposed method demonstrated the best performance of the three methods, and it also showed its capability to detect healthy skin and skin with vitiligo in areas up to 1 × 1 pixels. Conclusion: The results show that the proposed method has the potential to be used in clinical applications. It should be noted that the performance could be significantly improved by increasing the training patterns.
AB - Background: Vitiligo is a pathology that causes the appearance of achromic macules on the skin that can spread on to other areas of the body. It is estimated that it affects 1.2% of the world population and can disrupt the mental state of people in whom this disease has developed, generating negative feelings that can become suicidal in the worst of cases. The present work focuses on the development 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 of the interaction of light with the skin to determine areas of healthy skin and skin with vitiligo. We used 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. Considering these variables, the experiments were organized in an orthogonal table. We analyzed the result of the method based on three parameters (sensitivity, specificity, and F1-Score) and finally, its results were compared with other methods proposed in similar research. Results: The proposed method demonstrated the best performance of the three methods, and it also showed its capability to detect healthy skin and skin with vitiligo in areas up to 1 × 1 pixels. Conclusion: The results show that the proposed method has the potential to be used in clinical applications. It should be noted that the performance could be significantly improved by increasing the training patterns.
KW - Artificial neural network
KW - multilayer perceptron
KW - objective assessment
KW - skin repigmentation
KW - vitiligo
UR - http://www.scopus.com/inward/record.url?scp=85068568116&partnerID=8YFLogxK
U2 - 10.4103/jmss.JMSS_52_18
DO - 10.4103/jmss.JMSS_52_18
M3 - Article
C2 - 31316902
AN - SCOPUS:85068568116
SN - 2228-7477
VL - 9
SP - 88
EP - 99
JO - Journal of Medical Signals and Sensors
JF - Journal of Medical Signals and Sensors
IS - 2
ER -