AIMC Topic: Lung
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Automated estimation of total lung volume using chest radiographs and deep learning.
Medical physics
Apr 18, 2022
BACKGROUND: Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.
A deep-learning method for the denoising of ultra-low dose chest CT in coronary artery calcium score evaluation.
Clinical radiology
Apr 9, 2022
AIM: To evaluate a novel deep-learning denoising method for ultra-low dose CT (ULDCT) in the assessment of coronary artery calcium score (CACS).
Predicting Usual Interstitial Pneumonia Histopathology From Chest CT Imaging With Deep Learning.
Chest
Apr 8, 2022
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial lung disease (ILD) characterized by the absence of a known cause and usual interstitial pneumonitis (UIP) pattern on chest CT imaging and/or histopatho...
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.
Academic radiology
Apr 4, 2022
RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is time consuming and challenging to quantify on computed tomography. The purpose of this study was to evaluate the ability of a deep convolutional neural ...
H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method.
Physics in medicine and biology
Mar 29, 2022
Chest x-ray (CXR) is one of the most commonly used imaging techniques for the detection and diagnosis of pulmonary diseases. One critical component in many computer-aided systems, for either detection or diagnosis in digital CXR, is the accurate segm...
Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.
Computational and mathematical methods in medicine
Mar 27, 2022
In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory distress syndrome (NRDS), an ultrasonic lung imaging diagnosis model based on a deep residual network (D...
Research on Lung Ultrasound Image Classification Based on Compressed Sensing.
Journal of healthcare engineering
Mar 23, 2022
Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma environments and requires early diagnosis and treatment. The commonly used X-ray, CT, and other diagnostic instruments are not suitable for rescue sites due to thei...
Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy.
Frontiers in public health
Mar 22, 2022
PURPOSE: The purpose of this study was to evaluate the accuracy of a lung stereotactic body radiotherapy (SBRT) treatment plan with the target of a newly predicted internal target volume (ITV) and the feasibility of its clinical application. ITV was ...
Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules.
International journal of medical sciences
Mar 6, 2022
Early detection of lung cancer is one way to improve outcomes. Improving the detection of nodules on chest CT scans is important. Previous artificial intelligence (AI) modules show rapid advantages, which improves the performance of detecting lung n...
Artificial intelligence in computed tomography for quantifying lung changes in the era of CFTR modulators.
The European respiratory journal
Mar 3, 2022
BACKGROUND: Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease . However, visual scoring systems as an outcome measure are time consuming, require training and lack high reprod...
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