AIMC Topic: Lung Diseases

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Prediction of radiographic abnormalities by the use of bag-of-features and convolutional neural networks.

Veterinary journal (London, England : 1997) May 29, 2018
This study evaluated the feasibility of bag-of-features (BOF) and convolutional neural networks (CNN) for computer-aided detection in distinguishing normal from abnormal radiographic findings. Computed thoracic radiographs of dogs were collected. For...
Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Animals Dog Diseases Heart Diseases Radiography, Thoracic Diagnosis, Computer-Assisted Lung Diseases Dogs
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Adolescent Middle Aged Sound Spectrography Support Vector Machine Lung Prognosis Humans Adult Child Pattern Recognition, Automated Predictive Value of Tests Deep Learning Male Female Reproducibility of Results Signal Processing, Computer-Assisted Auscultation Infant, Newborn Lung Diseases Respiratory Sounds Aged Acoustics
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Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.

Computational and mathematical methods in medicine Apr 29, 2018
Pulmonary nodule recognition is the core module of lung CAD. The Support Vector Machine (SVM) algorithm has been widely used in pulmonary nodule recognition, and the algorithm of Multiple Kernel Learning Support Vector Machine (MKL-SVM) has achieved ...
Humans Artificial Intelligence Algorithms Support Vector Machine Lung Diseases
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Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.

The European respiratory journal Dec 21, 2017
The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002, adults from three participating countries of the European Community Respiratory Health Survey (ECR...
Vital Capacity Lung Health Surveys Male Antioxidants Forced Expiratory Volume Linear Models Longitudinal Studies Middle Aged Humans Lung Diseases Europe Smoking Diet Female Multivariate Analysis Adult
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Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework.

Computers in biology and medicine Aug 14, 2017
Lung disease risk stratification is important for both diagnosis and treatment planning, particularly in biopsies and radiation therapy. Manual lung disease risk stratification is challenging because of: (a) large lung data sizes, (b) inter- and intr...
Image Processing, Computer-Assisted Lung Diseases Female Male Risk Assessment Databases, Factual Tomography, X-Ray Computed Humans Machine Learning
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Deep learning poised to revolutionise diagnostic imaging.

The Lancet. Respiratory medicine Jul 19, 2017
Diagnostic Imaging Lung Diseases Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Humans Machine Learning
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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

International journal of computer assisted radiology and surgery Oct 28, 2016
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3...
Bronchi Image Processing, Computer-Assisted Automation Tomography, X-Ray Computed Humans Thorax Diagnosis, Computer-Assisted Organ Size Support Vector Machine Lung Imaging, Three-Dimensional Lung Diseases Machine Learning Bronchoscopy Algorithms
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Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.

International journal of computer assisted radiology and surgery Aug 30, 2016
PURPOSE: For realizing computer-aided diagnosis (CAD) of computed tomography (CT) images, many pattern recognition methods have been applied to automatic classification of normal and abnormal opacities; however, for the learning of accurate classifie...
Lung Diagnosis, Computer-Assisted Cluster Analysis Data Mining Pattern Recognition, Automated Unsupervised Machine Learning Lung Diseases Humans Algorithms Tomography, X-Ray Computed
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Reply.

American journal of obstetrics and gynecology Oct 9, 2015
Humans Female Obesity Genital Diseases, Female Robotics Lung Diseases Gynecologic Surgical Procedures
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Perioperative pulmonary complications in obese patients undergoing robotic procedures for gynecological cancers.

American journal of obstetrics and gynecology Oct 9, 2015
Genital Diseases, Female Robotics Lung Diseases Gynecologic Surgical Procedures Humans Female Obesity
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