Identification of Skin Diseases using a Novel Deep CNN
P. Nagaraj, V. Muneeswaran, K. Jaya Krishna, K. Yerriswamy Reddy, J. Rock Morries, G. Pavan Kumar
Abstract
Skin disorders are the most frequent health problems that people face around the world, and they come with a hefty price tag. Chickenpox, impetigo, infectious erythema, scabies, and skin warts are chronic and incurable skin disorders that cause severe morbidity in the form of physical discomfort. The technique of image processing is used in our procedure of identifying skin problems. Because this approach is based on Deep Convolutional Neural Network Learning, extremely precise results can be obtained by employing these techniques. The patient submits a photo of the affected area of the skin to the prototype as an input. In this photograph, the Deep Learning technique is employed, and as a result, the discovered skin disease is displayed as the output.