AIMC Topic: Thorax

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Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.

IEEE transactions on medical imaging Oct 28, 2020
Deep learning approaches have demonstrated remarkable progress in automatic Chest X-ray analysis. The data-driven feature of deep models requires training data to cover a large distribution. Therefore, it is substantial to integrate knowledge from mu...
Deep Learning Radiography Radiography, Thoracic Thorax X-Rays
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Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.

IEEE transactions on medical imaging Oct 28, 2020
Training deep neural networks usually requires a large amount of labeled data to obtain good performance. However, in medical image analysis, obtaining high-quality labels for the data is laborious and expensive, as accurately annotating medical imag...
Humans Neural Networks, Computer Supervised Machine Learning Thorax
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Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias.

Korean journal of radiology Oct 21, 2020
OBJECTIVE: To assess the performance of content-based image retrieval (CBIR) of chest CT for diffuse interstitial lung disease (DILD).
Tomography, X-Ray Computed Image Processing, Computer-Assisted Diagnosis, Differential Neural Networks, Computer Databases, Factual Retrospective Studies Thorax Idiopathic Interstitial Pneumonias Cryptogenic Organizing Pneumonia Humans
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Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.

Physical and engineering sciences in medicine Oct 6, 2020
Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on...
X-Rays Confidence Intervals Databases as Topic Thorax Humans Image Processing, Computer-Assisted Neural Networks, Computer Artifacts COVID-19 SARS-CoV-2 Deep Learning
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Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.

JAMA network open Oct 1, 2020
IMPORTANCE: Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated preliminary read assistants could help expedite their workflows, improve accuracy, and redu...
Humans Artificial Intelligence Algorithms ROC Curve Quality of Health Care Area Under Curve Thorax Radiography Internship and Residency Radiographic Image Interpretation, Computer-Assisted
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

Radiology Sep 22, 2020
Mass Screening Early Detection of Cancer Radiography Thorax Health Lung Deep Learning Lung Neoplasms Humans
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Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
Radiography, Thoracic Thorax X-Rays Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary False Positive Reactions Diagnosis, Computer-Assisted Databases, Factual ROC Curve Deep Learning Humans Area Under Curve Reproducibility of Results Computer Systems Neural Networks, Computer Equipment Design Sensitivity and Specificity Algorithms
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PadChest: A large chest x-ray image dataset with multi-label annotated reports.

Medical image analysis Aug 20, 2020
We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,000 images obtained from 67,000 patients that were interpre...
Humans Radiography Thorax Neural Networks, Computer Databases, Factual X-Rays
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Comparing different deep learning architectures for classification of chest radiographs.

Scientific reports Aug 12, 2020
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks,...
Betacoronavirus Pneumonia, Viral Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Radiography, Thoracic Thorax Pandemics ROC Curve Humans COVID-19 Coronavirus Infections Neural Networks, Computer SARS-CoV-2
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Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach.

Journal of healthcare engineering Aug 11, 2020
Coronavirus Disease (COVID19) is a fast-spreading infectious disease that is currently causing a healthcare crisis around the world. Due to the current limitations of the reverse transcription-polymerase chain reaction (RT-PCR) based tests for detect...
Betacoronavirus Pneumonia, Viral Thorax Biomedical Engineering Clinical Laboratory Techniques COVID-19 Deep Learning Databases, Factual Coronavirus Infections Humans Tomography, X-Ray Computed COVID-19 Testing Neural Networks, Computer SARS-CoV-2 Pandemics
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