If you're serious about optimizing your internet connection, then using a network switch could take it to the next level. You ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Enterprise leaders intend to invest in infrastructure to support their AI workloads and strategies. According to EMA, planned ...

Arista Networks’ new president and COO, Todd Nightingale, sits down with CRN to talk about why now is the time to come back ...

Despite the widespread use of gadolinium-based contrast agents in clinical MRI examinations due to their significant advantages in structural localization and tumor identification, there is a risk of ...

Former submarine commander: cutting the cables could cause significant disruption, but this is easier said than done.

Contrast-enhanced ultrasound (CEUS) has been extensively employed as an imaging modality in thyroid nodule diagnosis due to its capacity to visualise the distribution and circulation of micro-vessels ...

In this paper, a novel unsupervised model called kernel principal component analysis (KPCA) convolution is proposed for extracting representative features from multi-temporal VHR images. Based on the ...