AIMC Topic: X-Rays

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Potential diagnosis of COVID-19 from chest X-ray and CT findings using semi-supervised learning.

Physical and engineering sciences in medicine Nov 15, 2021
COVID-19 is an infectious disease, which has adversely affected public health and the economy across the world. On account of the highly infectious nature of the disease, rapid automated diagnosis of COVID-19 is urgently needed. A few recent findings...
Deep Learning Tomography, X-Ray Computed X-Rays Supervised Machine Learning SARS-CoV-2 Humans COVID-19
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MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases.

Mathematical biosciences and engineering : MBE Nov 15, 2021
Chest X-ray image is an important clinical diagnostic reference to lung diseases that is a serious threat to human health. At present, with the rapid development of computer vision and deep learning technology, many scholars have carried out the frui...
X-Rays Neural Networks, Computer Lung Deep Learning Lung Diseases Humans
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COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.

IEEE journal of biomedical and health informatics Nov 5, 2021
Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the health care system. Lung segmentation from chest X-ray (CXR) is a promising method for early diagnoses of pulmonary diseases. Recently, deep learning has...
Humans Lung Deep Learning X-Rays COVID-19 SARS-CoV-2
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A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images.

Journal of healthcare engineering Nov 5, 2021
COVID-19 is an infectious disease-causing flu-like respiratory problem with various symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of this paper is to develop a rapid and accurate medical diagnosis support system ...
COVID-19 Testing SARS-CoV-2 Pneumonia, Viral X-Rays Deep Learning Humans COVID-19
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A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.

Computers in biology and medicine Nov 4, 2021
Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdevelope...
COVID-19 Algorithms Humans Deep Learning X-Rays Pneumonia, Viral Tomography, X-Ray Computed SARS-CoV-2
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Data Augmentation of Backscatter X-ray Images for Deep Learning-Based Automatic Cargo Inspection.

Sensors (Basel, Switzerland) Nov 2, 2021
Custom inspection using X-ray imaging is a very promising application of modern pattern recognition technology. However, the lack of data or renewal of tariff items makes the application of such technology difficult. In this paper, we present a data ...
X-Rays Image Processing, Computer-Assisted Radiography Deep Learning
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AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from the CXR images is challenging as its radiographic features have a vari...
X-Rays Databases, Factual Tomography, X-Ray Computed Neural Networks, Computer COVID-19 Humans
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Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images.

Sensors (Basel, Switzerland) Oct 27, 2021
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in COVID-19 ide...
Deep Learning X-Rays SARS-CoV-2 Lung Artificial Intelligence Humans COVID-19
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COVID-19 detection using chest X-ray images based on a developed deep neural network.

SLAS technology Oct 25, 2021
AIM: Currently, a new coronavirus called COVID-19 is the biggest challenge of the human at 21st century. Now, the spread of this virus is such that mortality has risen strongly in all cities of countries. Therefore, it is necessary to think of a solu...
Algorithms SARS-CoV-2 Humans Neural Networks, Computer COVID-19 X-Rays Deep Learning Radiography, Thoracic
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DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 23, 2021
The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a significant effect on the well-being of the global population, thus increasing the demand for rapid testing, diagnosis, and treatment. As COVID-19 can cause severe pne...
Humans COVID-19 Tuberculosis X-Rays Deep Learning Pneumonia Algorithms SARS-CoV-2
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