AIMC Topic: Lung

Clear Filters Showing 971 to 980 of 984 articles

[Application of Digital Drainage System in Postoperative Refractory Prolonged Air Leaks after Pulmonary Surgery].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Dec 20, 2017
BACKGROUND: Postoperative prolonged air leaks is one of the most common complications secondary to pulmonary resections. Digital drainage system (DDS) is considered as an accurate and objective device which has been found to be comfortable and well t...
Time Factors Male Drainage Middle Aged Postoperative Complications Lung Humans Female Aged
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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Journal of digital imaging Dec 1, 2017
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resour...
Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Humans Support Vector Machine Solitary Pulmonary Nodule Phylogeny Genetic Variation Diagnosis, Computer-Assisted Pattern Recognition, Automated Image Processing, Computer-Assisted Lung Neoplasms
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Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
Humans Machine Learning Tomography, X-Ray Computed Female Gene Expression Biopsy Lung Adolescent Cohort Studies ROC Curve Adult Logistic Models Sensitivity and Specificity Sequence Analysis, RNA Aged Male Idiopathic Pulmonary Fibrosis Aged, 80 and over Middle Aged Diagnosis, Differential Young Adult
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Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs.

Investigative radiology May 1, 2017
OBJECTIVES: Convolutional neural networks (CNNs) are a subtype of artificial neural network that have shown strong performance in computer vision tasks including image classification. To date, there has been limited application of CNNs to chest radio...
Male Middle Aged Lung Diagnosis, Computer-Assisted Female Reproducibility of Results Sensitivity and Specificity Heart Lung Diseases Heart Diseases Radiography, Thoracic Humans Neural Networks, Computer Retrospective Studies
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Response.

Chest Apr 1, 2017
Lung Robotics
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Metformin Alleviates Lipopolysaccharide-induced Acute Lung Injury through Suppressing Toll-like Receptor 4 Signaling.

Iranian journal of allergy, asthma, and immunology Dec 1, 2016
Signaling AMP-activated protein kinase (AMPK), an energy sensing enzyme, has been implicated in controlling inflammation. In this study we investigated whether activation of AMPK by metformin could protect the lung from lipopolysaccharide (LPS)-induc...
Toll-Like Receptor 4 Peroxidase Acute Lung Injury NF-kappa B AMP-Activated Protein Kinases Metformin Myeloid Differentiation Factor 88 Hypoglycemic Agents Real-Time Polymerase Chain Reaction Lipopolysaccharides RNA, Messenger Tumor Necrosis Factor-alpha Blotting, Western Rats, Wistar Animals Rats Male Lung
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Application of semi-supervised deep learning to lung sound analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of aut...
Auscultation Respiratory Sounds Databases, Factual Humans Lung Neural Networks, Computer Models, Theoretical Machine Learning Lung Diseases Algorithms
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Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Significant progress has been made in recent years for computer-aided diagnosis of abnormal pulmonary textures from computed tomography (CT) images. Similar initiatives in chest radiographs (CXR), the common modality for pulmonary diagnosis, are much...
Radiography, Thoracic Air Virus Diseases Neural Networks, Computer Lung Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans
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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Medical physics Jun 1, 2016
PURPOSE: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional e...
Humans Neural Networks, Computer Female Sensitivity and Specificity Male Support Vector Machine Positron Emission Tomography Computed Tomography Lung Radiographic Image Interpretation, Computer-Assisted ROC Curve Lung Neoplasms Whole Body Imaging
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[Role of interleukin-17 in alveolar fluid clearance in mice with acute lung injury].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Apr 20, 2016
OBJECTIVE: To investigate the role of interleukin-17 (IL-17) in alveolar fluid clearance in mice with acute lung injury (ALI) and explore the possible mechanism.
Bronchoalveolar Lavage Fluid Animals Protein Serine-Threonine Kinases Acute Lung Injury Lung Interleukin-8 Epithelial Sodium Channels Interleukin-17 AMP-Activated Protein Kinases Gene Knockout Techniques Mice Lipopolysaccharides
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