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Clinical treatment of skin lesion depends on promptly detection as well as demarcation of lesion boundaries as to locate the cancerous region accurately. So an automated intelligent system is required primarily to analyze the skin lesion which has been brought the focus of many researchers in the past few decades. This paper presents an automated model for Skin Lesion Segmentation and Classification which make use of the deep convolutional networks. This model is trained on ISIC 2017 and achieved a Jaccard Index of 0.757688 which are comparable outcomes to the currently available techniques.
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