AIMC Topic: Radiography, Thoracic

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Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

IEEE transactions on medical imaging Feb 1, 2018
Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much as by lung cancer. Low-dose chest CT scans acquired in screening enable quantification of atherosclerotic calcifications and thus enable identifi...
Aortic Valve Coronary Artery Disease Coronary Vessels Lung Neoplasms Calcinosis Aortic Valve Stenosis Radiography, Thoracic Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Aged Middle Aged
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Spotlight on the 'humble' chest x-ray.

Radiography (London, England : 1995) Feb 1, 2018
Radiography United Kingdom Radiography, Thoracic Humans Artificial Intelligence
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Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.

Journal of digital imaging Aug 1, 2017
The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presenc...
Humans Neural Networks, Computer Radiography, Thoracic Radiography, Abdominal Intubation, Intratracheal ROC Curve Area Under Curve Datasets as Topic
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Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages.

Journal of digital imaging Aug 1, 2017
It is difficult for radiologists to classify pneumoconiosis from category 0 to category 3 on chest radiographs. Therefore, we have developed a computer-aided diagnosis (CAD) system based on a three-stage artificial neural network (ANN) method for cla...
Pneumoconiosis Radiography, Thoracic Radiographic Image Enhancement Humans Neural Networks, Computer Diagnosis, Computer-Assisted
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Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America May 15, 2017
An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positive predictive value, and negative predictive value of 84.7%, 78.2%, 75%, and 87%, respectively, for ...
Community-Acquired Infections Patient Portals Humans Male Algorithms Pneumonia Anti-Bacterial Agents Predictive Value of Tests Data Anonymization Young Adult Electronic Health Records Expert Systems Adult Female Radiography, Thoracic Sensitivity and Specificity Hospitalization
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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...
Radiography, Thoracic Heart Lung Diseases Heart Diseases Reproducibility of Results Sensitivity and Specificity Male Middle Aged Lung Diagnosis, Computer-Assisted Neural Networks, Computer Retrospective Studies Female Humans
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High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks.

Journal of digital imaging Feb 1, 2017
The study aimed to determine if computer vision techniques rooted in deep learning can use a small set of radiographs to perform clinically relevant image classification with high fidelity. One thousand eight hundred eighty-five chest radiographs on ...
Radiography Random Allocation Radiography, Thoracic Humans Neural Networks, Computer Retrospective Studies
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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 Lung Humans Diagnosis, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted
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Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.

Medical physics Mar 1, 2016
PURPOSE: In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-w...
Automation Pattern Recognition, Automated Radiography, Thoracic Tomography, X-Ray Computed Image Processing, Computer-Assisted Fuzzy Logic Thorax Humans Algorithms
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Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.

Medical physics Jan 1, 2016
PURPOSE: Statistical object shape models (SOSMs), known as probabilistic atlases, are popular in medical image segmentation. They register an image into the atlas coordinate system, such that a desired object can be delineated from the constraints of...
Fuzzy Logic Cerebellum Radiography, Thoracic Thorax Humans Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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