AIMC Topic: Radiographic Image Enhancement

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Adapting content-based image retrieval techniques for the semantic annotation of medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 4, 2016
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications i...
Sensitivity and Specificity Imaging, Three-Dimensional Liver Natural Language Processing Machine Learning Humans Algorithms Tomography, X-Ray Computed Reproducibility of Results Pattern Recognition, Automated Terminology as Topic Radiographic Image Interpretation, Computer-Assisted Data Mining Documentation Semantics Radiology Information Systems Radiographic Image Enhancement Database Management Systems
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Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Pediatric radiology Nov 6, 2015
BACKGROUND: CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-based iterative reconstruction CT.
Humans Models, Statistical Knowledge Bases Radiation Dosage Phantoms, Imaging Subtraction Technique Radiographic Image Enhancement Reproducibility of Results Radiation Protection Radiation Exposure Sensitivity and Specificity Machine Learning Male Child, Preschool Computer Simulation Tomography, X-Ray Computed Female
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Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

Medical image analysis Sep 8, 2015
In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. ...
Software Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement Subtraction Technique Sensitivity and Specificity Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule
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Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Medical image analysis Jul 4, 2015
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more ac...
Humans Radiographic Image Enhancement Reproducibility of Results Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Radiography, Abdominal Imaging, Three-Dimensional Viscera Algorithms Tomography, X-Ray Computed
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Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

Computer methods and programs in biomedicine Jul 4, 2015
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast canc...
Pattern Recognition, Automated Radiographic Image Enhancement Algorithms Female Reproducibility of Results Sensitivity and Specificity Mammography Humans Sample Size Breast Neoplasms Machine Learning Signal Processing, Computer-Assisted Fuzzy Logic
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Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest.

Medical image analysis May 27, 2015
Cardiac computed tomography angiography (CTA) is a non-invasive method for anatomic evaluation of coronary artery stenoses. However, CTA is prone to artifacts that reduce the diagnostic accuracy to identify stenoses. Further, CTA does not allow for d...
Radiographic Image Enhancement Pattern Recognition, Automated Tomography, X-Ray Computed Rest Reproducibility of Results Myocardial Perfusion Imaging Coronary Stenosis Sensitivity and Specificity Humans Coronary Angiography Machine Learning Radiographic Image Interpretation, Computer-Assisted Algorithms
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Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.

Medical image analysis May 21, 2015
Abdominal segmentation on clinically acquired computed tomography (CT) has been a challenging problem given the inter-subject variance of human abdomens and complex 3-D relationships among organs. Multi-atlas segmentation (MAS) provides a potentially...
Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Liver Neoplasms Radiographic Image Enhancement Radiography, Abdominal Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Machine Learning Algorithms
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A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.

Medical image analysis May 14, 2015
Inflammatory and infectious lung diseases commonly involve bronchial airway structures and morphology, and these abnormalities are often analyzed non-invasively through high resolution computed tomography (CT) scans. Assessing airway wall surfaces an...
Humans Pattern Recognition, Automated Radiographic Image Enhancement Bronchography Sensitivity and Specificity Imaging, Three-Dimensional Fuzzy Logic Radiographic Image Interpretation, Computer-Assisted Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results
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Locality-constrained Subcluster Representation Ensemble for lung image classification.

Medical image analysis Mar 24, 2015
In this paper, we propose a new Locality-constrained Subcluster Representation Ensemble (LSRE) model, to classify high-resolution computed tomography (HRCT) images of interstitial lung diseases (ILDs). Medical images normally exhibit large intra-clas...
Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Pattern Recognition, Automated Radiography, Thoracic Algorithms Humans Tomography, X-Ray Computed Machine Learning Sensitivity and Specificity Lung Radiographic Image Enhancement
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Models, Statistical Mammography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated False Positive Reactions Humans Sensitivity and Specificity Radiographic Image Enhancement Algorithms Breast Neoplasms Computer Simulation Support Vector Machine Female
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