AIMC Topic: X-Rays

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A deep learning-based recognition for dangerous objects imaged in X-ray security inspection device.

Journal of X-ray science and technology Jan 1, 2023
Several limitations in algorithms and datasets in the field of X-ray security inspection result in the low accuracy of X-ray image inspection. In the literature, there have been rare studies proposed and datasets prepared for the topic of dangerous o...
Radiography X-Rays Algorithms Deep Learning
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A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.

Current medical imaging Jan 1, 2023
BACKGROUND: The new global pandemic caused by the 2019 novel coronavirus (COVID-19), novel coronavirus pneumonia, has spread rapidly around the world, causing enormous damage to daily life, public health security, and the global economy. Early detect...
SARS-CoV-2 Deep Learning COVID-19 COVID-19 Testing Humans X-Rays Radiography Pneumonia
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Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this imbalance by enabling the generation of synthetic images to augment datasets. It is important to ge...
X-Rays Machine Learning
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Wasserstein GAN based Chest X-Ray Dataset Augmentation for Deep Learning Models: COVID-19 Detection Use-Case.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The novel coronavirus infection (COVID-19) is still continuing to be a concern for the entire globe. Since early detection of COVID-19 is of particular importance, there have been multiple research efforts to supplement the current standard RT-PCR te...
Humans COVID-19 Deep Learning Radiography SARS-CoV-2 X-Rays
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Correlation Between Quality Evaluation Metrics and Teeth Detection Results in Panoramic X-Rays Using Deep Learning.

Studies in health technology and informatics Jun 6, 2022
Panoramic images are one of the most requested exams by dentists for allowing the visualization of the entire mouth. Interpreting X-ray images is a time-consuming task in which misdiagnoses can occur due to the inexperience or fatigue of professional...
X-Rays Radiography, Panoramic Tooth Deep Learning
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The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

Studies in health technology and informatics Jun 6, 2022
Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community relies heavily on public data comprising numerous data sources. Model...
Radiography X-Rays SARS-CoV-2 Deep Learning COVID-19 Humans
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User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

Studies in health technology and informatics May 25, 2022
The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain a positive impact on the diagnosis pathway. We evaluated user satisfaction with an AI system for the automated detection of findings in chest x-rays, ...
Artificial Intelligence Radiography Hospitals Humans Personal Satisfaction X-Rays
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ACRnet: Adaptive Cross-transfer Residual neural network for chest X-ray images discrimination of the cardiothoracic diseases.

Mathematical biosciences and engineering : MBE May 7, 2022
Cardiothoracic diseases are a serious threat to human health and chest X-ray image is a great reference in diagnosis and treatment. At present, it has been a research hot-spot how to recognize chest X-ray image automatically and exactly by the comput...
X-Rays Emphysema Neural Networks, Computer Cardiomegaly Humans
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X-ray source design optimization using differential evolution algorithms-A case study.

The Review of scientific instruments May 1, 2022
Traditional x-ray sources used today for multiple applications, such as medical imaging (computed tomography, radiography, mammography, and interventional radiology) or industrial inspection, are vacuum based electron beam devices that include severa...
X-Rays Radiography Algorithms Tomography, X-Ray Computed Artificial Intelligence
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Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network.

The Journal of chemical physics Apr 28, 2022
The affordable, accurate, and generalizable prediction of spectroscopic observables plays a key role in the analysis of increasingly complex experiments. In this article, we develop and deploy a deep neural network-XANESNET-for predicting the linesha...
X-Rays Machine Learning Neural Networks, Computer Spectrum Analysis
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