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Attention U-Net

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Pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net


we just test the models with ISIC 2018 dataset. The dataset was split into three subsets, training set, validation set, and test set, which the proportion is 70%, 10% and 20% of the whole dataset, respectively. The entire dataset contains 2594 images where 1815 images were used for training, 259 for validation and 520 for testing models.



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