AIMC Topic: X-Rays

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ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images.

Journal of biomolecular structure & dynamics Jan 21, 2021
In the hospital, because of the rise in cases daily, there are a small number of COVID-19 test kits available. For this purpose, a rapid alternative diagnostic choice to prevent COVID-19 spread among individuals must be implemented as an automatic de...
X-Rays COVID-19 SARS-CoV-2 Deep Learning Humans Neural Networks, Computer
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Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.

European radiology Jan 20, 2021
OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)-positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinic...
Radiography, Thoracic X-Rays Humans Artificial Intelligence COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors.

Physical and engineering sciences in medicine Jan 18, 2021
Tuberculosis (TB) remains one of the major health problems in modern times with a high mortality rate. While efforts are being made to make early diagnosis accessible and more reliable in high burden TB countries, digital chest radiography has become...
Humans Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Tuberculosis X-Rays
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The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph.

Scientific reports Jan 15, 2021
This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, to mitigate feature ambiguity in bone fracture detection on radiographs of various body parts. A total of 9040 radiographic studies were extracted. Th...
Humans Neural Networks, Computer ROC Curve Shoulder X-Rays Elbow Radiographic Image Interpretation, Computer-Assisted Fractures, Bone Wrist Area Under Curve
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Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network.

Sensors (Basel, Switzerland) Jan 7, 2021
Accurate identification of the boundaries of organs or abnormal objects (e.g., tumors) in medical images is important in surgical planning and in the diagnosis and prognosis of diseases. In this study, we propose a deep learning-based method to segme...
X-Rays Neural Networks, Computer Lung Image Processing, Computer-Assisted Attention
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A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.

Interdisciplinary sciences, computational life sciences Jan 2, 2021
Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers of this article investigated the...
Databases as Topic Humans Machine Learning Thorax Neural Networks, Computer SARS-CoV-2 COVID-19 X-Rays Imaging, Three-Dimensional Algorithms Logistic Models
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Kashin-Beck disease diagnosis based on deep learning from hand X-ray images.

Computer methods and programs in biomedicine Dec 30, 2020
BACKGROUND AND OBJECTIVE: Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to short stature. The early radiological examinations are crucial for potential patients. However, many children in rural China cannot be diagnosed in time ...
X-Rays China Kashin-Beck Disease Child Hand Humans Deep Learning
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Motion-flow-guided recurrent network for respiratory signal estimation of x-ray angiographic image sequences.

Physics in medicine and biology Dec 11, 2020
Motion compensation can eliminate inconsistencies of respiratory movement during image acquisitions for precise vascular reconstruction in the clinical diagnosis of vascular disease from x-ray angiographic image sequences. In x-ray-based vascular int...
Coronary Angiography Respiration Movement Hepatic Artery X-Rays Respiratory-Gated Imaging Techniques Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
Thorax Humans SARS-CoV-2 Neural Networks, Computer X-Rays Mass Screening Male Aged COVID-19 COVID-19 Testing Lung Algorithms Databases as Topic Time Factors
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StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.

Physical and engineering sciences in medicine Dec 4, 2020
The highly contagious nature of Coronavirus disease 2019 (Covid-19) resulted in a global pandemic. Due to the relatively slow and taxing nature of conventional testing for Covid-19, a faster method needs to be in place. The current researches have su...
Lung Time Factors ROC Curve Humans Image Processing, Computer-Assisted Models, Theoretical COVID-19 Testing Neural Networks, Computer Algorithms Artifacts COVID-19 Databases, Factual X-Rays SARS-CoV-2
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