Final devolution and merger plans that promise to be one of the biggest political shake ups in Surrey will be formally put forward this week. While the county council and a few boroughs and ...

Abstract: The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are more widely used in the case of limited ...

Abstract: Semantic segmentation is one of the most significant tasks in remote sensing (RS) image interpretation, which focuses on learning global and local information to infer the semantic label of ...

This code is valuable for researchers and developers in the medical image analysis field ... bones at a threshold of 400 HU). python plot_3d(pix_resampled, 400) # Display high-density structures like ...

In this paper, we innovatively propose a multi-view (coronal and transverse) attention network for semi-supervised 3D cardiac image segmentation. In this way, the proposed method obtained more ...

This project performs a comprehensive customer segmentation analysis on a transnational online retail dataset spanning three years (2009, 2010, 2011). The primary goal is to identify distinct customer ...