Known by acronyms that need no explanation, viruses like COVID, SARS and Ebola conjure images of medics in protective suits ...

Update 06/02/2022: We released COVIDx CXR-3, a cleaned version of the dataset in which several hundred bad training images have been removed. The new dataset contains 29,986 images from 16,648 ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

A hantavirus outbreak aboard a cruise ship last week, which led to several passenger deaths, stirred up anxiety and feelings of unease for many people who are still grappling with the long-lasting ...

The labels are arranged in a hierarchy: Current stats of PA, AP, and AP Supine views. Labels 0=No or 1=Yes. Data loader is here COVID19_Dataset num_samples=481 views=['PA', 'AP'] {'ARDS': {0.0: 465, 1 ...

Abstract: The coronavirus disease 2019 (COVID-19) continues to have a negative impact on healthcare systems around the world, though the vaccines have been developed and national vaccination coverage ...

A nation cannot boast of a thriving security force with thorough aggression against invaders or mercenaries without protecting the lives ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

cInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK dBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, ...

Absolute and relative rate differences were calculated, along with their 95% confidence intervals (95% CIs), between the observed and expected rates for 174 causes of increases in incidence, ...

The popularity of wearable health devices has surged, reflecting an increasing emphasis on preventive healthcare and proactive disease management. These devices, such as fitness trackers and ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...