Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning

7 Sep 2018 Shunsuke Kitada Hitoshi Iyatomi

In this report, we introduce the outline of our system in Task 3: Disease Classification of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection. We fine-tuned multiple pre-trained neural network models based on Squeeze-and-Excitation Networks (SENet) which achieved state-of-the-art results in the field of image recognition... (read more)

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