Skin disease detection using artificial neural network

1Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Jaychandra Reddy, V., & Nagalakshmi, T. J. (2019). Skin disease detection using artificial neural network. International Journal of Innovative Technology and Exploring Engineering, 8(12), 1450–1453. https://doi.org/10.35940/ijitee.L3948.1081219

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free