With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, nuclei, ...
The top 25 rankings are important for understanding just who is killing it in college basketball, but we can go deeper — all the way to the bubble and beyond. The NCAA Evaluation Tool, or NET, is a ...
Abstract: Nowadays, various graph convolutional networks (GCNs) to process graph-structured data have been proposed for hyperspectral image (HSI) classification. Nevertheless, most GCN-based HSI ...