AIMC Topic: Lung

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Lung nodule classification using deep feature fusion in chest radiography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2016
Lung nodules are small, round, or oval-shaped masses of tissue in the lung region. Early diagnosis and treatment of lung nodules can significantly improve the quality of patients' lives. Because of their small size and the interlaced nature of chest ...
Humans Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Radiography, Thoracic Machine Learning Sensitivity and Specificity Lung
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An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy.

PloS one Nov 11, 2016
For ensemble learning, how to select and combine the candidate classifiers are two key issues which influence the performance of the ensemble system dramatically. Random vector functional link networks (RVFL) without direct input-to-output links is o...
Humans Algorithms Pattern Recognition, Automated Brain Neoplasms Neural Networks, Computer Lung Machine Learning Diabetes Mellitus Wine
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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...
Thorax Bronchi Organ Size Lung Diseases Automation Tomography, X-Ray Computed Lung Diagnosis, Computer-Assisted Humans Imaging, Three-Dimensional Support Vector Machine Machine Learning Image Processing, Computer-Assisted 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 Unsupervised Machine Learning Humans Algorithms Tomography, X-Ray Computed Lung Diseases Data Mining Pattern Recognition, Automated
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Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.

IEEE transactions on medical imaging Feb 29, 2016
Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep l...
Algorithms Tomography, X-Ray Computed Lung Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines.

IEEE transactions on medical imaging Feb 8, 2016
The choice of features greatly influences the performance of a tissue classification system. Despite this, many systems are built with standard, predefined filter banks that are not optimized for that particular application. Representation learning m...
Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Humans
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Enhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential Lacunarity.

BioMed research international Dec 22, 2015
The analysis and interpretation of high-resolution computed tomography (HRCT) images of the chest in the presence of interstitial lung disease (ILD) is a time-consuming task which requires experience. In this paper, a computer-aided diagnosis (CAD) s...
Support Vector Machine Lung Diseases, Interstitial Male Lung Humans Diagnosis, Computer-Assisted Tomography, X-Ray Computed Image Processing, Computer-Assisted Female
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Neural hypernetwork approach for pulmonary embolism diagnosis.

BMC research notes Oct 29, 2015
BACKGROUND: Hypernetworks are based on topological simplicial complexes and generalize the concept of two-body relation to many-body relation. Furthermore, Hypernetworks provide a significant generalization of network theory, enabling the integration...
Aged Male Middle Aged ROC Curve Pulmonary Embolism Lung Ultrasonography Neural Networks, Computer Machine Learning Female Humans Survival Analysis
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Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning.

IEEE transactions on medical imaging Oct 26, 2015
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an aut...
Kidney Neoplasms Histocytochemistry Lung Humans Image Processing, Computer-Assisted Machine Learning
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Capnodynamic assessment of effective lung volume during cardiac output manipulations in a porcine model.

Journal of clinical monitoring and computing Sep 16, 2015
A capnodynamic calculation of effective pulmonary blood flow includes a lung volume factor (ELV) that has to be estimated to solve the mathematical equation. In previous studies ELV correlated to reference methods for functional residual capacity (FR...
Hemodynamics Time Factors Models, Theoretical Animals Lung Swine Positive-Pressure Respiration Regional Blood Flow Cardiac Output Lung Volume Measurements Tidal Volume Reference Values Respiratory Function Tests Functional Residual Capacity Surface-Active Agents Anesthesia Lung Injury Sulfur Hexafluoride
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