Skin Disease Detection Using Convolutional Neural Network

Skin Disease Detection Using Convolutional Neural Network

,1 Dr. Latika Desai,2 Sakshi Bhosale , 3 Sonam Chavan, 4 Akshay Gaikwad, 5 Ishika Jadhav

1 Professor, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

2Student, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

3Student, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

4 Student,Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

5 Student, Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, India

Abstract : Skin is the like powerful protection of important organs in the human body. It acts as a shield to protect our internal body to get damaged. But this important part of the human body can be affected by serious infections caused by some fungus or viruses or even dust too. Due to acne problems to eczema people suffer a lot. A proper diagnosis can result in proper medication that can degrade the miseries of the people suffering. The goal of this system is to develop a prototype to detect skin diseases using neural networks. In the choice of neural networks, we have chosen CNN (Convolutional Neural Network). In this application picture handling strategies are used. Users have to take a photo of the contaminated region of their skin and transfer it to the system. The transferred pictures of illness will be handled in the focal server and it will answer with the disease name. Convolutional neural network (CNN) have been applied in this study for the identification of skin diseases.

IndexTerms - Disease detection, CNN (Convolutional Neural Network),