AIMC Topic: Radiographic Image Enhancement

Clear Filters Showing 91 to 100 of 102 articles

Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Journal of digital imaging Jun 1, 2019
Chest digital tomosynthesis (CDT) provides more limited image information required for diagnosis when compared to computed tomography. Moreover, the radiation dose received by patients is higher in CDT than in chest radiography. Thus, CDT has not bee...
Humans Neural Networks, Computer Radiation Dosage Radiography, Thoracic Monte Carlo Method Radiographic Image Enhancement Algorithms Deep Learning Imaging, Three-Dimensional
View on PubMed DOI

A Decision-Support Tool for Renal Mass Classification.

Journal of digital imaging Dec 1, 2018
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevan...
Radiographic Image Enhancement Kidney Contrast Media Kidney Neoplasms Tomography, X-Ray Computed Algorithms Humans Clinical Decision-Making Decision Support Techniques Machine Learning Reproducibility of Results Retrospective Studies
View on PubMed DOI

Learned Primal-Dual Reconstruction.

IEEE transactions on medical imaging Jun 1, 2018
We propose the Learned Primal-Dual algorithm for tomographic reconstruction. The algorithm accounts for a (possibly non-linear) forward operator in a deep neural network by unrolling a proximal primal-dual optimization method, but where the proximal ...
Humans Algorithms Radiographic Image Enhancement Tomography, X-Ray Computed Deep Learning Phantoms, Imaging
View on PubMed DOI

Digital radiography image denoising using a generative adversarial network.

Journal of X-ray science and technology Jan 1, 2018
Statistical noise may degrade the x-ray image quality of digital radiography (DR) system. This corruption can be alleviated by extending exposure time of detectors and increasing the intensity of radiation. However, in some instances, such as the sec...
Unsupervised Machine Learning Radiographic Image Enhancement Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

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...
Diagnosis, Computer-Assisted Pneumoconiosis Radiography, Thoracic Humans Neural Networks, Computer Radiographic Image Enhancement
View on PubMed DOI

Enhancement of digital radiography image quality using a convolutional neural network.

Journal of X-ray science and technology Jan 1, 2017
Digital radiography system is widely used for noninvasive security check and medical imaging examination. However, the system has a limitation of lower image quality in spatial resolution and signal to noise ratio. In this study, we explored whether ...
Radiographic Image Enhancement Reproducibility of Results Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Detection of concealed cars in complex cargo X-ray imagery using Deep Learning.

Journal of X-ray science and technology Jan 1, 2017
BACKGROUND: Non-intrusive inspection systems based on X-ray radiography techniques are routinely used at transport hubs to ensure the conformity of cargo content with the supplied shipping manifest. As trade volumes increase and regulations become mo...
Security Measures Humans Machine Learning Automobiles Radiography Radiographic Image Enhancement
View on PubMed DOI

Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Algorithms Computer Simulation Republic of Korea Female Reproducibility of Results Aged Humans Machine Learning Liver Radiographic Image Interpretation, Computer-Assisted Models, Biological Pattern Recognition, Automated Multidetector Computed Tomography Knowledge Bases Neovascularization, Pathologic Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Adult Sensitivity and Specificity Male Radiographic Image Enhancement
View on PubMed DOI

Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.
Humans Reproducibility of Results Artificial Intelligence Logistic Models Algorithms Contrast Media Tomography, X-Ray Computed Radiography, Abdominal Pelvis Administration, Intravenous Radiographic Image Enhancement
View on PubMed DOI

Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
Stochastic Processes Radiographic Image Enhancement Supervised Machine Learning Pattern Recognition, Automated Sensitivity and Specificity Computer Simulation False Positive Reactions Breast Neoplasms Female Sample Size Models, Statistical Humans Reproducibility of Results Neural Networks, Computer Data Interpretation, Statistical Algorithms Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals