DERMATOLOGICAL DISEASE DETECTION USING ARTIFICIAL NEURAL NETWORKS

Authors

  • D.S. Zingade

Keywords:

Neural Network, Dermatological Disease, Image Processing, Disease Training

Abstract

One of the most common and augmenting health problems in the world are related to skin. The most unpredictable and
one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of
texture, tone, presence of hair and other distinctive features. In this paper, we proposed a system which detects the skin
diseases using Artificial Neural Network. The system successfully detects different types of dermatological skin
diseases. It consists of mainly three phases image processing, training phase, detection phase. In image processing phase we
apply algorithms like grey scale conversion, RGB to HSV conversion to the input image. After getting HSV values disease corresponding to the input image gets detected by artificial neural network algorithm. Also, as an addition to the detection the percentage of infection is identified.

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Published

2021-01-14

How to Cite

D.S. Zingade. (2021). DERMATOLOGICAL DISEASE DETECTION USING ARTIFICIAL NEURAL NETWORKS. International Journal of Emerging Trends &Amp; Computer Science, 3(2). Retrieved from https://aspirepublishers.com/index.php/ijetcs/article/view/31

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Section

Articles