Results 11 to 20 of about 10,994,323 (383)
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks [PDF]
Physical and Engineering Sciences in Medicine, 2020 In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease.
Ioannis D. Apostolopoulos +1 more
semanticscholar +3 more sources
An X-ray polarimeter for hard X-ray optics [PDF]
SPIE Proceedings, 2006 Development of multi-layer optics makes feasible the use of X-ray telescope at energy up to 60-80 keV: in this paper we discuss the extension of photoelectric polarimeter based on Micro Pattern Gas Chamber to high energy X-rays.
Baldini, Luca +27 more
core +8 more sources
"Soft X-ray transient" outbursts which aren't soft [PDF]
Monthly Notices of the Royal Astronomical Society, 2003 We have accumulated multiwavelength (X-ray, optical, radio) lightcurves for the eight black hole X-ray binaries which have been observed to enter a supposed `soft X-ray transient' outburst, but remained in the low/hard state throughout the outburst ...
Bandyopadhyay, R. M. +2 more
core +9 more sources
X-ray reflection in a sample of X-ray bright Ultraluminous X-ray sources [PDF]
Monthly Notices of the Royal Astronomical Society, 2009 We apply a reflection-based model to the best available XMM-Newton spectra of X-ray bright UltraLuminous X-ray (ULX) sources (NGC 1313 X-1, NGC 1313 X-2, M 81 X-6, Holmberg IX X-1, NGC 5408 X-1 and Holmberg II X-1).
A. C. Fabian +52 more
core +4 more sources
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network [PDF]
Applied intelligence (Boston), 2020 Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural networks (CNN s)
Asmaa Abbas, M. Abdelsamea, M. Gaber
semanticscholar +1 more source
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization [PDF]
IEEE Access, 2020 Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening.
Tawsifur Rahman +10 more
semanticscholar +1 more source
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases [PDF]
Computer Vision and Pattern Recognition, 2017 The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern
Xiaosong Wang +5 more
semanticscholar +1 more source
Nature Communications, 2023 Visualizing surface-supported and buried planar mesoscale structures, such as nanoelectronics, ultrathin-film quantum dots, photovoltaics, and heterogeneous catalysts, often requires high-resolution X-ray imaging and scattering.
Miaoqi Chu +5 more
doaj +1 more source