Abstract: Deep neural networks typically require accurate and a large number of annotations to achieve outstanding performance in medical image segmentation. One-shot and weakly-supervised learning ...
The UK is set for arctic conditions across January, with temperatures plummeting as low as -12C midway through the month. New weather data, produced by WXCharts.com, shows temperatures sinking below ...
Abstract: U-Nets have achieved tremendous success in medical image segmentation. Nevertheless, it may have limitations in global (long-range) contextual interactions and edge-detail preservation. In ...
POPOCATÉPETL VOLCANO, Mexico (AP) — In the predawn darkness, a team of scientists climbs the slope of Mexico's Popocatépetl volcano, one of the world’s most active and whose eruption could affect ...
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A reported case of memory module substitution has raised concerns about hardware purchases from major online retailers. A customer who ordered Corsair Vengeance DDR5 memory from Amazon discovered that ...
3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive ...