AIMC Topic: Lung
Clear Filters Showing 901 to 910 of 984 articles
Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.
Medicine
Jun 11, 2021
The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph.A test set of 100 chest radiographs containing 53 cases with no pathology (no...
DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning.
Studies in health technology and informatics
May 27, 2021
Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interp...
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.
The Journal of the Acoustical Society of America
May 1, 2021
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the visual inspection of ultrasound data, thus negatively affecting the reliability and reproducibility o...
Long-term and short-term outcomes of robot- versus video-assisted anatomic lung resection in lung cancer: a systematic review and meta-analysis.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Apr 29, 2021
OBJECTIVES: Minimally invasive thoracic surgery has evolved with the introduction of robotic platforms. This study aimed to compare the long-term and short-term outcomes of the robot-assisted thoracic surgery (RATS) and video-assisted thoracic surger...
An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis.
Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Mar 31, 2021
In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report t...
The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.
Medicine
Mar 26, 2021
In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefo...
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: The study sought to test the possibility of differentiating chest x-ray images of coronavirus disease 2019 (COVID-19) against other pneumonia and healthy patients using deep neural networks.
[A deep learning-based lung nodule density classification and segmentation method and its effectiveness under different CT reconstruction algorithms].
Zhonghua yi xue za zhi
Feb 23, 2021
To evaluate the diagnostic value of the lung nodule classification and segmentation algorithm based on deep learning among different CT reconstruction algorithms. Chest CT of 363 patients from June 2019 to September 2019 in Radiology Department of ...
A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.
Medicine
Feb 19, 2021
Fine crackles are frequently heard in patients with interstitial lung diseases (ILDs) and are known as the sensitive indicator for ILDs, although the objective method for analyzing respiratory sounds including fine crackles is not clinically availabl...
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