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Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks

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arxiv 1807.06466 v1 pith:A3EIH5IZ submitted 2018-07-17 cs.CV

classification cs.CV
keywords lesionsegmentationskinanalysisautomaticchallengeconvolutionaldeep
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This paper summarizes our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation

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    DeepLabV3+ outperforms Dynamic U-Net and PSPNet for aerial segmentation in a new 90-image Granada dataset, and parked cars can be identified by a fourth class or by a heuristic post-processing rule.

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