AIMC Topic: X-Rays

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Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

eLife Oct 18, 2021
An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and Decembe...
Hospital Mortality ROC Curve Emergency Service, Hospital Middle Aged Hospitals Italy X-Rays SARS-CoV-2 Risk Factors Aged, 80 and over Male Aged Algorithms Female Machine Learning COVID-19 Humans
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Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images.

Sensors (Basel, Switzerland) Oct 12, 2021
Automatic defect detection of tire has become an essential issue in the tire industry. However, it is challenging to inspect the inner structure of tire by surface detection. Therefore, an X-ray image sensor is used for tire defect inspection. At pre...
Humans Radiography X-Rays Unsupervised Machine Learning
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Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.

Archives of osteoporosis Oct 9, 2021
UNLABELLED: DeepDXA is a deep learning model designed to infer bone mineral density data from plain pelvis X-ray, and it can achieve good predicted value for clinical use.
Humans Neural Networks, Computer Bone Density Absorptiometry, Photon Deep Learning X-Rays Radiography
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AI-based diagnosis of COVID-19 patients using X-ray scans with stochastic ensemble of CNNs.

Physical and engineering sciences in medicine Oct 5, 2021
According to the World Health Organization (WHO), novel coronavirus (COVID-19) is an infectious disease and has a significant social and economic impact. The main challenge in fighting against this disease is its scale. Due to the outbreak, medical f...
Deep Learning X-Rays Humans Neural Networks, Computer Algorithms SARS-CoV-2 COVID-19
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Detection and analysis of COVID-19 in medical images using deep learning techniques.

Scientific reports Oct 4, 2021
The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to X-ray and CT-scan medical images for the detection of COVID-19. In this paper, we used four powerful pre-trained CNN models, VGG16, Dense...
Humans COVID-19 Tomography, X-Ray Computed Image Processing, Computer-Assisted Thorax SARS-CoV-2 X-Rays Deep Learning
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Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.

IEEE transactions on medical imaging Sep 30, 2021
Zero-shot learning (ZSL) is one of the most promising avenues of annotation-efficient machine learning. In the era of deep learning, ZSL techniques have achieved unprecedented success. However, the developments of ZSL methods have taken place mostly ...
Radiography Semantics X-Rays Machine Learning Phenotype
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Determining Top Fully Connected Layer's Hidden Neuron Count for Transfer Learning, Using Knowledge Distillation: a Case Study on Chest X-Ray Classification of Pneumonia and COVID-19.

Journal of digital imaging Sep 29, 2021
Deep convolutional neural network (CNN)-assisted classification of images is one of the most discussed topics in recent years. Continuously innovation of neural network architectures is making it more correct and efficient every day. But training a n...
Neurons X-Rays SARS-CoV-2 Deep Learning Humans Pneumonia COVID-19
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Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach.

International journal of environmental research and public health Sep 27, 2021
Coronavirus disease (COVID-19) spreads from one person to another rapidly. A recently discovered coronavirus causes it. COVID-19 has proven to be challenging to detect and cure at an early stage all over the world. Patients showing symptoms of COVID-...
Deep Learning Big Data X-Rays Humans COVID-19 SARS-CoV-2
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Detection of COVID-19 from Chest X-ray Images Using Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland) Sep 3, 2021
The COVID-19 global pandemic has wreaked havoc on every aspect of our lives. More specifically, healthcare systems were greatly stretched to their limits and beyond. Advances in artificial intelligence have enabled the implementation of sophisticated...
Artificial Intelligence COVID-19 Humans Deep Learning SARS-CoV-2 Neural Networks, Computer X-Rays
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Deep learning-based reconstruction of interventional tools and devices from four X-ray projections for tomographic interventional guidance.

Medical physics Aug 30, 2021
PURPOSE: Image guidance for minimally invasive interventions is usually performed by acquiring fluoroscopic images using a monoplanar or a biplanar C-arm system. However, the projective data provide only limited information about the spatial structur...
Image Processing, Computer-Assisted Fluoroscopy X-Rays Deep Learning Phantoms, Imaging Humans Cone-Beam Computed Tomography Tomography, X-Ray Computed
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