“Light Field” represents radiances of rays along travelling paths, which describes intensities and transport properties of the light ray in the free space [1]. The visual contents of the scene are encapsulated in the light field (LF), such as texture, depth, illumination, shading etc. Gener...
¹⁰²/¹⁰³Emanational Modes: Generation and ProcessionThe Halensianaccount of divine plurality posits two emanational modes (proces-siones)from theFather.These‘eternal pullulations or two lights or two shootsortworays’(intriguingly citing terms from the Greek patristictradition)‘flow ...
The x-rays below explain how inability to burp can cause shortness of breath. Esophageal Findings The esophagus is typically collapsed around endoscopes inserted into them and air is pumped in through a tiny channel in order to gently expand the esophagus so that its walls can be seen. Here...
Descriptions of long-lasting symptoms after influenza-like illnesses can be traced back to 1892 when Josephine Butler, a women’s right campaigner, wrote to her son complaining of unresolved fatigue after being infected with the Russian Influenza. In 1895, politicians in the United Kingdom, includi...
In medical imaging, the last decade has witnessed a remarkable increase in the availability and diversity of chest X-ray (CXR) datasets. Concurrently, ther
Loess-paleosol sequences have been used in Asia to study climate and environmental changes during the Quaternary. The scarcity of age control datasets and proxy indices analysis data for Asian loess has limited our understanding of loess depositional pro
However, the clinically observed high initial correction rate after Ponseti therapy of arthrogrypotic clubfoot was not accompanied by a correction of the bony foot position in the X-rays. The feet of the patients with DA had better outcomes than those of the patients with AP. Therefore, in ...
Over the years, diagnostic tools commonly used for assessing intervertebral discs (IVDs) and their associated pathologies have included radiographs, X-rays, ultrasound, discography, computed tomography (CT), and magnetic resonance imaging (MRI). In recent times, considerable efforts have been directed ...
models, for learning the characteristic feature of COVID from Lung CT-Scans / X-Rays of suspected patients and by using that knowledge the models classifies the COVID-19 from other viral/bacterial pneumonia and healthy ones and some of them showed a very impressive accuracy of about 99% (...
to check access. . Accessed 3 Feb 2024 Moutounet-Cartan PGB (2020) Deep convolutional neural networks to diagnose COVID-19 and other pneumonia diseases from posteroanterior chest X-Rays, 2020, arXiv:2005.00845. [Online]. Available: Google Scholar...