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Skin Lesion Image Segmentation Based on Adversarial Networks
2018
KSII Transactions on Internet and Information Systems
Traditional methods based active contours or region merging are powerless in processing images with blurring border or hair occlusion. In this paper, a structure based convolutional neural networks is proposed to solve segmentation of skin lesion image. The structure mainly consists of two networks which are segmentation net and discrimination net. The segmentation net is designed based U-net that used to generate the mask of lesion, while the discrimination net is designed with only
doi:10.3837/tiis.2018.06.021
fatcat:qbhntzmqy5hghdfynrxxqf55ba