AI Medical Compendium Topic:
Lung

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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Sensitivity and Specificity Lung Humans Tomography, X-Ray Computed Multiple Pulmonary Nodules Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Deep Learning ROC Curve
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Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.

Journal of digital imaging Oct 1, 2018
Accurate segmentation of specific organ from computed tomography (CT) scans is a basic and crucial task for accurate diagnosis and treatment. To avoid time-consuming manual optimization and to help physicians distinguish diseases, an automatic organ ...
Humans Lung Image Processing, Computer-Assisted Support Vector Machine Liver Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Lung cancer is one of the four major cancers in the world. Accurate diagnosing of lung cancer in the early stage plays an important role to increase the survival rate. Computed Tomography (CT)is an effective method to help the doctor to detect the lu...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Humans Image Processing, Computer-Assisted Lung Neoplasms
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Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing phase events (inspiration/expiration). Therefore, we propose an event detection approach with spectr...
Respiration Respiratory Sounds Heart Sounds Neural Networks, Computer Lung Sound Sound Spectrography Humans
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The Effects of Mouth Opening and Throat Pack Placement on Uncuffed Nasal Endotracheal Tube Leakage and Delivered Tidal Volumes in Mechanically Ventilated Pediatric Patients Undergoing Dental Procedures.

Anesthesia progress Jan 1, 2018
Intubation for pediatric patients is frequently performed with an uncuffed endotracheal tube (ETT), which may result in an incomplete tracheal seal, resulting in gas leakage (leak). The purpose of this study was to assess the effect of (1) mouth open...
Time Factors Mouth Child, Preschool Child Airway Extubation Tidal Volume Pediatric Dentistry Equipment Design Male Humans Treatment Outcome Respiration, Artificial Prospective Studies Age Factors Lung Female
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Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.

Journal of X-ray science and technology Jan 1, 2018
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l0-norm dictionary learning regularization has...
Tomography, X-Ray Computed Animals Lung Sheep Phantoms, Imaging Image Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms
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A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Journal of X-ray science and technology Jan 1, 2018
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on ...
Algorithms Lung Diagnosis, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Machine Learning Early Detection of Cancer Risk
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[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...
Humans Female Aged Male Time Factors Drainage Middle Aged Postoperative Complications Lung
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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...
Pattern Recognition, Automated Support Vector Machine Solitary Pulmonary Nodule Genetic Variation Reproducibility of Results Sensitivity and Specificity Lung Image Processing, Computer-Assisted Lung Neoplasms Phylogeny Diagnosis, Computer-Assisted Humans Tomography, X-Ray Computed
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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...
Male Middle Aged Lung ROC Curve Logistic Models Adolescent Cohort Studies Aged, 80 and over Young Adult Adult Sensitivity and Specificity Tomography, X-Ray Computed Female Aged Humans Gene Expression Machine Learning Biopsy Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Diagnosis, Differential
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