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This paper describes the participation of Araguaia Medical Vision Lab at theInternational Skin Imaging Collaboration 2017 Skin Lesion Challenge. Wedescribe the use of deep convolutional neural networks in attempt to classifyimages of Melanoma and Seborrheic Keratosis lesions. With use of finetunedGoogleNet and AlexNet we attained results of 0.950 and 0.846 AUC on SeborrheicKeratosis and Melanoma respectively.

Araguaia Medical Vision Lab at ISIC 2017 Skin Lesion Classification Challenge