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This paper explains the method used in the segmentation challenge (Task 1) inthe International Skin Imaging Collaboration's (ISIC) Skin Lesion AnalysisTowards Melanoma Detection challenge held in 2018. We have trained a U-Netnetwork to perform the segmentation. The key elements for the training werefirst to adjust the loss function to incorporate unbalanced proportion ofbackground and second to perform post-processing operation to adjust thecontour of the prediction.

Lesion segmentation using U-Net network