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I made a automated skin disease diagnosis DEMO website based on deep learning algorithm (Model Dermatology; http://ModelDerm.com). ResNet152 and VGG19 were used as a CNN model, around 300,000 images (179 class;176 skin disorders) were used as a trainining dataset. The training images were collected from 4 university hospitals in Korea. This CNN model is the successor to my onychomycosis model (http://nail.medicalphoto.org). The web-based test platform provides 3 differential diagnosis after analyzing image.