AIMC Topic: X-Rays

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Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray.

Sensors (Basel, Switzerland) Jan 16, 2022
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential to control the spread and alleviate risk. Due to the promising ...
COVID-19 Algorithms Humans COVID-19 Testing Radiography, Thoracic X-Rays SARS-CoV-2 Deep Learning
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Angular super-resolution in X-ray projection radiography using deep neural network: Implementation on rotational angiography.

Biomedical journal Jan 10, 2022
BACKGROUND: Rotational angiography acquires radiographs at multiple projection angles to demonstrate superimposed vasculature. However, this comes at the expense of the inherent risk of increased ionizing radiation. In this paper, building upon a suc...
Humans X-Rays Radiography Angiography Neural Networks, Computer Image Processing, Computer-Assisted
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Editorial comment to artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.

European journal of radiology Jan 7, 2022
Artificial Intelligence Technology X-Rays Musculoskeletal System Radiography Humans
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CXR-RefineDet: Single-Shot Refinement Neural Network for Chest X-Ray Radiograph Based on Multiple Lesions Detection.

Journal of healthcare engineering Jan 7, 2022
The workload of radiologists has dramatically increased in the context of the COVID-19 pandemic, causing misdiagnosis and missed diagnosis of diseases. The use of artificial intelligence technology can assist doctors in locating and identifying lesio...
X-Rays Tomography, X-Ray Computed SARS-CoV-2 Humans Neural Networks, Computer Pandemics COVID-19 Artificial Intelligence
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A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images.

Computational intelligence and neuroscience Jan 7, 2022
. The new coronavirus disease (known as COVID-19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and people's everyday lives. As the number of COVID-19 cases is rapidly increasing, a reliable detection techn...
Analysis of Variance X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning
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Attention based automated radiology report generation using CNN and LSTM.

PloS one Jan 6, 2022
The automated generation of radiology reports provides X-rays and has tremendous potential to enhance the clinical diagnosis of diseases in patients. A new research direction is gaining increasing attention that involves the use of hybrid approaches ...
Humans Neural Networks, Computer Algorithms Radiology Deep Learning Radiography, Thoracic Natural Language Processing X-Rays
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Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.

Computers in biology and medicine Jan 5, 2022
Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly spreading around the globe. As a result, rapid and precise identification of COVID-19 patients is critical. Deep Learning has shown promising performance in a variety of domains ...
COVID-19 Algorithms SARS-CoV-2 Humans Artificial Intelligence Radiography, Thoracic X-Rays Deep Learning Bayes Theorem
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Artificial Intelligence to Diagnose Tibial Plateau Fractures: An Intelligent Assistant for Orthopedic Physicians.

Current medical science Dec 31, 2021
OBJECTIVE: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of tibial plateau fractures (TPFs) and further measure its validity and feasibility.
X-Rays Algorithms Orthopedics Physicians Humans Feasibility Studies Adult Female Artificial Intelligence Tibial Fractures Male
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D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

Computational intelligence and neuroscience Dec 15, 2021
Since the outbreak of Coronavirus disease 2019 (COVID-19), it has been spreading rapidly worldwide and has not yet been effectively controlled. Many researchers are studying novel Coronavirus pneumonia from chest X-ray images. In order to improve the...
Deep Learning COVID-19 X-Rays Humans SARS-CoV-2 Neural Networks, Computer
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A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network.

Computers in biology and medicine Dec 14, 2021
Several infectious diseases have affected the lives of many people and have caused great dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly discovered virus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-...
SARS-CoV-2 Algorithms Deep Learning Neural Networks, Computer X-Rays Computers COVID-19 Humans
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