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  1. 2D-3D-UNet-for-GDL-segmentation 2D-3D-UNet-for-GDL-segmentation Public

    2D and 2D U-Net for multiphase segmentation of X-ray tomography of gas giffusion layers

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    PoreSeg is segmentation framework that leverages the convolutional layers and ensemble learning for automatic segmentation of X-ray images. It can be implemented in two approaches: (I) unsupervised…

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    Capsule Network for Prediction of Permeability Tensor from X-ray Images of Porous Media

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