Digital Dermatology :Skin Disease Detection using Image Processing

Biomedical Engineering

Dermatogy is one of the most unpredictable and difficult terrains to diagnose due to its complexity.In the field of dermatology, many a times extensive tests are to be carried out to decide skin condition of the patient.So there is a need of system that diagnose skin disease to eliminate these constrains.we propose an automated image based system for recognition of skin disease using Convolutional Neural Network classification. In this, skin images are filtered using median filter to remove unwanted noise. Feature extraction is done by CNN with AlexNet and classification is based on algorithm of softmax classifier as well as obtaining the diagnosis report as output. This system will give more accuracy and generate results faster than traditional method, making this application an efficient and dependable system for dermatological disease detection

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