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- W2945937517 abstract "Skin Diseases are becoming very common now days. Number of people suffering from skin diseases is increasing rapidly. Human judgment on diagnosis of skin diseases is sometimes subjective and not reproducible. To achieve more reliable and objective accuracy computer aided diagnosis may be used. Skin disease detection is basically an image classification task. Recently deep learning is used in many image classification tasks. We usedConvolution Neural Network (CNN)as a classifier. The results indicate CNN can be feasibly used for skin disease detection.The main advantage of CNN is that we don’t need to hand craft features from images,but it learns features on its own." @default.
- W2945937517 created "2019-05-29" @default.
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- W2945937517 date "2018-07-18" @default.
- W2945937517 modified "2023-09-23" @default.
- W2945937517 title "CONVOLUTION NEURAL NETWORK CLASSIFIER FOR SKIN DISEASE DETECTION" @default.
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