AIMC Topic: Radiographic Image Enhancement

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Selection of peripheral intravenous catheters with 24-gauge side-holes versus those with 22-gauge end-hole for MDCT: A prospective randomized study.

European journal of radiology Dec 6, 2016
PURPOSE: To compare the 24-gauge side-holes catheter and conventional 22-gauge end-hole catheter in terms of safety, injection pressure, and contrast enhancement on multi-detector computed tomography (MDCT).
Middle Aged Catheterization, Peripheral Contrast Media Injections, Intravenous Aged, 80 and over Humans Young Adult Prospective Studies Iohexol Adult Female Male Multidetector Computed Tomography Aged Radiographic Image Enhancement
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Mammogram Enhancement Using Intuitionistic Fuzzy Sets.

IEEE transactions on bio-medical engineering Nov 2, 2016
OBJECTIVE: Conventional mammogram enhancement methods use transform-domain filtering, which possibly produce some artifacts or not well highlight all local details in images. This paper presents a new enhancement method based on intuitionistic fuzzy ...
Algorithms Female Reproducibility of Results Aged Humans Fuzzy Logic Mammography Pattern Recognition, Automated Adult Radiographic Image Enhancement Sensitivity and Specificity Subtraction Technique Breast Neoplasms Middle Aged
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Decision Making Based on Fuzzy Aggregation Operators for Medical Diagnosis from Dental X-ray images.

Journal of medical systems Oct 27, 2016
Medical diagnosis is considered as an important step in dentistry treatment which assists clinicians to give their decision about diseases of a patient. It has been affirmed that the accuracy of medical diagnosis, which is much influenced by the clin...
Humans Algorithms Clinical Decision-Making Dentistry Reproducibility of Results Fuzzy Logic X-Rays Radiographic Image Enhancement
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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Medical & biological engineering & computing Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Female Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Middle Aged Pattern Recognition, Automated Algorithms Radiographic Image Enhancement Models, Genetic Male Tomography, X-Ray Computed Support Vector Machine Solitary Pulmonary Nodule
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Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets.

BioMed research international Sep 18, 2016
In order to improve the detection accuracy of pulmonary nodules in CT image, considering two problems of pulmonary nodules detection model, including unreasonable feature structure and nontightness of feature representation, a pulmonary nodules detec...
Radiographic Image Enhancement Subtraction Technique Humans Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Support Vector Machine Lung Neoplasms Solitary Pulmonary Nodule Pattern Recognition, Automated
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Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

IEEE transactions on bio-medical engineering Sep 16, 2016
OBJECTIVE: We introduce descriptor-based segmentation that extends existing patch-based methods by combining intensities, features, and location information. Since it is unclear which image features are best suited for patch selection, we perform a b...
Humans Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Radiographic Image Enhancement Subtraction Technique Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Parotid Gland Pattern Recognition, Automated
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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...
Terminology as Topic Radiology Information Systems Radiographic Image Enhancement Database Management Systems Imaging, Three-Dimensional Algorithms Liver Humans Tomography, X-Ray Computed Data Mining Natural Language Processing Machine Learning Reproducibility of Results Documentation Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Semantics Pattern Recognition, Automated
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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 Machine Learning Computer Simulation Tomography, X-Ray Computed Female Reproducibility of Results Sensitivity and Specificity Male Radiation Protection Phantoms, Imaging Radiographic Image Enhancement Child, Preschool Radiation Exposure Models, Statistical Subtraction Technique Knowledge Bases Radiation Dosage
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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. ...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement Subtraction Technique Sensitivity and Specificity Neural Networks, Computer Imaging, Three-Dimensional Software Lung Neoplasms Humans Algorithms Solitary Pulmonary Nodule Tomography, X-Ray Computed Reproducibility of Results
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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...
Imaging, Three-Dimensional Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Viscera Humans Tomography, X-Ray Computed Pattern Recognition, Automated Radiographic Image Enhancement Reproducibility of Results Radiography, Abdominal Sensitivity and Specificity
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