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Multi-domain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting
Recent CT Metal Artifacts Reduction (MAR) methods are often based on image-to-image convolutional neural networks for adjustment of corrupted sinograms or images themselves.
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation
In the last years, neural networks have proven to be a powerful framework for various image analysis problems.
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