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Similar to medical image segmentation as a whole, a popular method of white matter region segmentation is always to use U-Net depending artificial neural community architectures. Despite many recommended improvements to the U-Net architecture in recent years, there is too little systematic comparison of architectural variations for white matter area segmentation. In this report, we evaluate several U-Net based architectures designed for this purpose. We contrast the outcomes of
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