Automated Skin Disease Recognition Using CNN

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Prashant Kamble, Trupti Borse, Tanvyee Inamdar, H. B. Ghorpade, S. S. Bhosale, C. G. Patil


This paper proposed a system of detection of skin diseases that can be applied to Teledermatology. Our system will classify skin diseases on Database images using the Deep Learning algorithm, Convolutional Neural Network (CNN). Skin problems not only injure physical health but further psychological problems, especially for patients whose faces are damaged or even disfigured. Using smart devices, most people can obtain convenient clinical images of their face skin condition. On the other hand, the convolutional neural networks (CNN) have achieved near or even better performance than citizenry within the imaging field. Therefore, this paper studied different CNN algorithms for face disease of the skin classification supported the clinical Database images. Skin diseases have caused immense economic burdens both in high-income and low-income countries. for each individual, skin problems can have adverse effects on all aspects of life, including interpersonal relationships, work, social functioning, physical activity, and mental state.

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