AIMC Topic: Lung

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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Humans Databases, Factual Tomography, X-Ray Computed ROC Curve Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Lung Deep Learning
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Lung Pulmonary Emphysema Early Diagnosis Pulmonary Disease, Chronic Obstructive Humans Respiratory Function Tests Sensitivity and Specificity Tomography, X-Ray Computed Spirometry Disease Progression Risk Factors
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Pulmonary functional parameters and blood cotinine level in chronic obstructive pulmonary disease.

Tuberkuloz ve toraks Dec 1, 2018
INTRODUCTION: Smoking is the leading cause of chronic obstructive pulmonary disease (COPD) and cotinine is reliable marker of tobacco exposure. We aimed to investigate the relationship between pulmonary function tests (FVC%, FEV1, FEV1/FVC and FEF25-...
Aged, 80 and over Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Lung Biomarkers Female Aged Humans Cotinine Chromatography, Gas Spirometry
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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.
Humans Tomography, X-Ray Computed Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Sensitivity and Specificity ROC Curve Lung Multiple Pulmonary Nodules Diagnosis, Computer-Assisted
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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 ...
Image Processing, Computer-Assisted Support Vector Machine Liver Humans Tomography, X-Ray Computed Lung Neural Networks, Computer Algorithms
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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...
Lung Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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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...
Humans Neural Networks, Computer Lung Respiratory Sounds Heart Sounds Sound Sound Spectrography Respiration
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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...
Airway Extubation Pediatric Dentistry Prospective Studies Age Factors Child, Preschool Humans Tidal Volume Respiration, Artificial Female Equipment Design Child Lung Male Mouth Treatment Outcome Time Factors
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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...
Animals Phantoms, Imaging Humans Lung Algorithms Supervised Machine Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Sheep
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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 ...
Early Detection of Cancer Risk Lung Diagnosis, Computer-Assisted Lung Neoplasms Neural Networks, Computer Machine Learning Algorithms Humans
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