The Exergen Temporal Artery Thermometer comes in box packaging ... swab dipped in alcohol to clean around the lens to reach deep into the probehead. The rest of the casing can be cleaned with ...

In response, this paper proposes a new unsupervised learning approach called Deep Temporal Joint Clustering (DTJC) designed for efficient pixel-wise clustering of SITS data. DTJC optimizes the ...

Aims: Coronary artery ... deep vein thrombosis, pulmonary embolism, stroke, transient ischemic attack and death using conventional and validated definitions for these end points. The temporal ...

A large collection of common deep learning architectures for medical imaging that can be initialized Various pre-trained deep learning models to perform key medical imaging tasks Utility functions to ...

Here are the best telescopes for deep space — gaze far into the night sky and observe rare objects like the elusive 'blaze star.' And with Black Friday underway, expect some serious stargazing ...

The first evaluation for subclavian artery occlusive disease should always ... incremental increases in volume coverage, spatial and temporal resolution, as well as a reduction in acquisition ...

To this end, we propose a novel deep neural network based on multiscale features extraction, named Multi-Scale Temporal-Spatial feature-based hybrid Deep neural Network (MSTSDN). We conduct ...

Peripheral artery disease (PAD), sometimes known as peripheral vascular disease (PVD), is a blockage of arteries in a limb, usually the leg. The blockage is most often the result of a chronic buildup ...

CTA data were analyzed by the algorithm for detection and localization of LVO (intracranial internal carotid artery (ICA)/ICA terminus (ICA-T), M1 ... evaluated here is based on a deep learning ...

Hosted by Dr. Negar Asdaghi, each episode of Stroke's monthly podcast, Stroke Alert, begins by posing key takeaway questions from featured articles in the current issue of Stroke. This is followed by ...