AIMC Topic: X-Rays

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A comprehensive deep-learning model for interpreting chest x-rays.

The Lancet. Digital health Jan 1, 2022
Deep Learning Radiography X-Rays
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UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Analysis of chest X-ray images is one of the primary standards in diagnosing patients with COVID-19 and pneumonia, which is faster than using PCR Swab method. However, accuracy of using X-ray images needs to be improved.
Neural Networks, Computer COVID-19 Algorithms Humans SARS-CoV-2 Deep Learning X-Rays Pneumonia, Viral
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A Novel Multicolor-thresholding Auto-detection Method to Detect the Location and Severity of Inflammation in Confirmed SARS-COV-2 Cases using Chest X-Ray Images.

Current medical imaging Jan 1, 2022
OBJECTIVES: Since late 2019, Coronavirus Disease 2019 (COVID-19) has spread around the world. It has been determined that the disease is very contagious and can cause Acute Respiratory Distress (ARD). Medical imaging has the potential to help identif...
Inflammation Humans X-Rays COVID-19 SARS-CoV-2 Deep Learning
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An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.

Current medical imaging Jan 1, 2022
BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses called coronaviruses. In humans, the seriousness of infection caused by a coronavirus in the respiratory tract can vary from mild to lethal. A serious illn...
Humans Neural Networks, Computer Deep Learning Radiography, Thoracic X-Rays COVID-19 SARS-CoV-2
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Comparison of concordance between chuna manual therapy diagnosis methods (palpation, X-ray, artificial intelligence program) in lumbar spine: An exploratory, cross-sectional, prospective observational study protocol.

Medicine Dec 23, 2021
INTRODUCTION: Chuna manual therapy (CMT) is a type of manual medicine practiced by Korean medical doctors in South Korea. Spinal diagnosis in CMT uses a system that applies manual diagnostic and X-ray tests to detect specific vertebral malpositions, ...
Musculoskeletal Manipulations Palpation Observational Studies as Topic Lumbar Vertebrae X-Rays Medicine, Korean Traditional Male Middle Aged Adult Cross-Sectional Studies Artificial Intelligence Female Humans
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TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection From Chest 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 Nov 1, 2021
Topological Data Analysis (TDA) has emerged recently as a robust tool to extract and compare the structure of datasets. TDA identifies features in data (e.g., connected components and holes) and assigns a quantitative measure to these features. Sever...
SARS-CoV-2 Humans Deep Learning Data Analysis X-Rays COVID-19
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Deep Learning Framework for Automatic Bone Age Assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Bone age Assessment or the skeletal age is a general clinical practice to detect endocrine and metabolic disarrangement in child development. The bone age indicates the level of structural and biological growth better than chronological age calculate...
Hand X-Rays Child Neural Networks, Computer Radiography Infant Humans Deep Learning
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Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Detection of lung contour on chest X-ray images (CXRs) is a necessary step for computer-aid medical imaging analysis. Because of the low-intensity contrast around lung boundary and large inter-subject variance, it is challenging to detect lung from s...
Neural Networks, Computer Lung Radiography Thorax X-Rays
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Deep Learning and Binary Relevance Classification of Multiple Diseases using Chest 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 Nov 1, 2021
Disease detection using chest X-ray (CXR) images is one of the most popular radiology methods to diagnose diseases through a visual inspection of abnormal symptoms in the lung region. A wide variety of diseases such as pneumonia, heart failure and lu...
Thorax Deep Learning Neural Networks, Computer X-Rays Radiography, Thoracic
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Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine.

Investigative radiology Aug 1, 2021
OBJECTIVES: Validation of deep learning models should separately consider bedside chest radiographs (CXRs) as they are the most challenging to interpret, while at the same time the resulting diagnoses are important for managing critically ill patient...
Radiography, Thoracic Humans Deep Learning X-Rays Emergency Medicine Retrospective Studies Critical Care
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