Automatic Skin Cancer Detection using Convolutional Neural Network |
Author(s): |
| Neethu M S , IES College of Engineering, Chittilappilly, Thrissur; Shemitha P A, IES College of Engineering, Chittilappilly, Thrissur |
Keywords: |
| Skin Cancer, Machine Learning, Deep Learning, Convolutional Neural Network |
Abstract |
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One of the major disease facing today is cancer. There are different types of cancers lung cancer, breast cancer, skin cancer etc. Detecting skin cancer using machine learning algorithm is more accurate and faster than detecting manually. The performance of the cancer detection varies based on the input image and the algorithm used to classify the image. Instead of machine learning algorithm uses any deep learning method it will improve the performance of the system. Most commonly used deep neural network is deep convolutional neural network. The convolutional neural network is a type of feed forward neural network. The neural network contains one input layer, n number of hidden layer and one output layer. Convolutional neural network predict the probability of a specific mole that can be malign. |
Other Details |
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Paper ID: IJSRDV7I40715 Published in: Volume : 7, Issue : 4 Publication Date: 01/07/2019 Page(s): 844-847 |
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