Results 1 to 10 of about 3,057,120 (145)
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 +1 more source
Deep Learning for Chest X-ray Analysis: A Survey [PDF]
Medical Image Anal., 2021 Recent advances in deep learning have led to a promising performance in many medical image analysis tasks. As the most commonly performed radiological exam, chest radiographs are a particularly important modality for which a variety of applications have ...
Ecem Sogancioglu +4 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
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 Biomedical Engineering, 2022 In tasks involving the interpretation of medical images, suitably trained machine-learning models often exceed the performance of medical experts. Yet such a high-level of performance typically requires that the models be trained with relevant datasets ...
E. Tiu +5 more
semanticscholar +1 more source
Pump-probe X-ray holographic imaging of laser-induced cavitation bubbles with femtosecond FEL pulses
Nature Communications, 2021 Cavitation bubbles show many nonlinear characteristics of liquid and gas phase. Here the authors demonstrate coherent diffractive imaging of cavitation bubble using infrared pump and XFEL probe and discuss the formation and evolution of the bubbles.
M. Vassholz +20 more
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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
Systematic and collaborative approach to problem solving using X-ray photoelectron spectroscopy
, 2021 The methodology presented within this work is a result of years of interactions between many junior and senior X-ray Photoelectron Spectroscopy (XPS) users operating within the CasaXPS spectral processing and interpretation program framework.
N. Fairley +11 more
semanticscholar +1 more source
Face X-Ray for More General Face Forgery Detection [PDF]
Computer Vision and Pattern Recognition, 2019 In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveals whether the input image can be decomposed into the blending of two ...
Lingzhi Li +6 more
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