Physics World

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
News-Medical.Net

MEA-driven graph modeling identifies early connectivity changes linked to autism

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...
InfoWorld

Microsoft .NET Aspire adds resource graph, publishers

Publishers, now in preview, are a new type of integration that help developers package and deploy .NET Aspire apps to Docker Compose, Kubernetes, Azure, and other destinations. Microsoft has released ...
The New York Times

30 Charts That Show How Covid Changed Everything

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...
IEEE

Graph U-Net With Topology-Feature Awareness Pooling for Hyperspectral Image Classification

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 ...
IEEE

MIGA-Net: Multi-View Image Information Learning Based on Graph Attention Network for SAR Target Recognition

Abstract: Neural networks for synthetic aperture radar (SAR) automatic target recognition often encounter overfitting challenges owing to limited training samples. Moreover, the azimuth angle of SAR, ...