DETECTION OF SKIN DISEASE IN PERVASIVE HEALTH CARE USING CONVOLUTION NEURAL NETWORK

Abstrac. This paper is about detecting skin disease using convolutional neural network in pervasive health care. Various optimizers in keras model are compared and the optimizer with the highest accuracy percentage is employed to predict skin disease through abnormalities in skin images. Detecting skin diseases by viewing images of skin can be an advancement to a great extent. There are many algorithms in machine language which would help to serve the above mentioned scenario. One of the most efficient algorithms that is being used here is convolutional neural networks. It simplifies the input image by reducing its dimensionality which makes prediction of patterns much easier.Convolutional neural network is used along with keras using tensorflow as backend which enables higher efficiency and accuracy.