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Skin Disease Detection Using Artificial Neural Network


Affiliations
1 UG student, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, India
2 Assistant professor, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, India
     

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Most of the health issues on human body is notified through the skin. In this paper, we proposed a framework which identifies the skin infections by using Artificial Neural Network technique. This framework effectively recognizes different types of dermatological skin illnesses. It comprises of three stages. They are, picture fixing, articulating stage, locating the stage. Strategies like shifting, partition, highlight mining, picture pre-preparing and edge identification are important. This paper introduces an overview of different skin sickness. A thorough report of various skin infections is studied.

Keywords

Pre-Processing, Edge Detection, Filtering, Image Processing, Skin Diseases, ANN.
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  • Skin Disease Detection Using Artificial Neural Network

Abstract Views: 151  |  PDF Views: 0

Authors

V. Jaychandra Reddy
UG student, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, India
T. J. Nagalakshmi
Assistant professor, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, India

Abstract


Most of the health issues on human body is notified through the skin. In this paper, we proposed a framework which identifies the skin infections by using Artificial Neural Network technique. This framework effectively recognizes different types of dermatological skin illnesses. It comprises of three stages. They are, picture fixing, articulating stage, locating the stage. Strategies like shifting, partition, highlight mining, picture pre-preparing and edge identification are important. This paper introduces an overview of different skin sickness. A thorough report of various skin infections is studied.

Keywords


Pre-Processing, Edge Detection, Filtering, Image Processing, Skin Diseases, ANN.