AIMC Topic: Radiography, Thoracic

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Deep Learning to Determine the Activity of Pulmonary Tuberculosis on Chest Radiographs.

Radiology Aug 3, 2021
Background Determining the activity of pulmonary tuberculosis on chest radiographs is difficult. Purpose To develop a deep learning model to identify active pulmonary tuberculosis on chest radiographs. Materials and Methods Chest radiographs were ret...
Humans Retrospective Studies Female Sensitivity and Specificity Deep Learning Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary Radiography, Thoracic Male Middle Aged Lung
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Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network.

Photodiagnosis and photodynamic therapy Aug 1, 2021
BACKGROUND: The recent emergence of a highly infectious and contagious respiratory viral disease known as COVID-19 has vastly impacted human lives and overloaded the health care system. Therefore, it is crucial to develop a fast and accurate diagnost...
Photosensitizing Agents Radiography, Thoracic X-Rays Humans Neural Networks, Computer COVID-19 Deep Learning Algorithms Photochemotherapy SARS-CoV-2
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Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images.

Computers in biology and medicine Jul 29, 2021
Chest X-ray images are used in deep convolutional neural networks for the detection of COVID-19, the greatest human challenge of the 21st century. Robustness to noise and improvement of generalization are the major challenges in designing these netwo...
Humans Bayes Theorem COVID-19 Radiography, Thoracic X-Rays SARS-CoV-2 Deep Learning
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Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.

European radiology Jul 15, 2021
OBJECTIVE: To explore the value of a deep learning-based algorithm in detecting Lung CT Screening Reporting and Data System category 4 nodules on chest radiographs from an asymptomatic health checkup population.
Radiography, Thoracic Lung Neoplasms Sample Size Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity Lung Humans Deep Learning Algorithms Retrospective Studies
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Deep learning applied to automatic disease detection using chest X-rays.

Journal of medical imaging and radiation oncology Jul 6, 2021
Deep learning (DL) has shown rapid advancement and considerable promise when applied to the automatic detection of diseases using CXRs. This is important given the widespread use of CXRs across the world in diagnosing significant pathologies, and the...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic X-Rays Humans Deep Learning
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Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

The Lancet. Digital health Jul 1, 2021
BACKGROUND: Chest x-rays are widely used in clinical practice; however, interpretation can be hindered by human error and a lack of experienced thoracic radiologists. Deep learning has the potential to improve the accuracy of chest x-ray interpretati...
Young Adult Adult Male Female Aged Aged, 80 and over ROC Curve Thoracic Neoplasms Mass Screening Area Under Curve Middle Aged Deep Learning Adolescent Thoracic Injuries Retrospective Studies Humans Artificial Intelligence Radiography, Thoracic Infections Radiologists X-Rays Radiographic Image Interpretation, Computer-Assisted Models, Biological
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Deep learning for classification of pediatric chest radiographs by WHO's standardized methodology.

PloS one Jun 21, 2021
BACKGROUND: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of t...
Radiography, Thoracic ROC Curve Male Observer Variation Humans Models, Statistical Infant Image Interpretation, Computer-Assisted World Health Organization Pneumonia Deep Learning Female Datasets as Topic Reproducibility of Results
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Deep convolutional neural networks for COVID-19 automatic diagnosis.

Microscopy research and technique Jun 14, 2021
This article is mainly concerned with COVID-19 diagnosis from X-ray images. The number of cases infected with COVID-19 is increasing daily, and there is a limitation in the number of test kits needed in hospitals. Therefore, there is an imperative ne...
COVID-19 SARS-CoV-2 Deep Learning Humans Neural Networks, Computer COVID-19 Testing Radiography, Thoracic
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Weighing features of lung and heart regions for thoracic disease classification.

BMC medical imaging Jun 10, 2021
BACKGROUND: Chest X-rays are the most commonly available and affordable radiological examination for screening thoracic diseases. According to the domain knowledge of screening chest X-rays, the pathological information usually lay on the lung and he...
Thoracic Diseases Lung Diseases Heart Diseases Radiography, Thoracic Lung Deep Learning ROC Curve Heart Humans
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Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19.

Journal of medical systems Jun 8, 2021
Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world, causing then the 2019-20 coronavirus pandemic. In many cases, thi...
COVID-19 Algorithms Deep Learning Pneumonia, Viral Radiography, Thoracic X-Rays Humans Neural Networks, Computer
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