AIMC Topic: Quality Control

Clear Filters Showing 111 to 120 of 239 articles

Artificial intelligence in diagnostic imaging: impact on the radiography profession.

The British journal of radiology Dec 16, 2019
The arrival of artificially intelligent systems into the domain of medical imaging has focused attention and sparked much debate on the role and responsibilities of the radiologist. However, discussion about the impact of such technology on the radio...
Artificial Intelligence Image Processing, Computer-Assisted Radiography Humans Quality Control Radiotherapy Planning, Computer-Assisted Professional Role Radiology Radiologists Workflow
View on PubMed DOI

Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Dec 12, 2019
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological and cytological information in epidermal and dermal layers while reducing the need for biopsies. As RCM is being adopted more widely, the workflow is e...
Skin Diseases Quality Control Dermoscopy Image Processing, Computer-Assisted Humans Microscopy, Confocal Diagnosis, Differential Machine Learning Skin Feasibility Studies
View on PubMed DOI

A fast and scalable method for quality assurance of deformable image registration on lung CT scans using convolutional neural networks.

Medical physics Nov 19, 2019
PURPOSE: To develop and evaluate a method to automatically identify and quantify deformable image registration (DIR) errors between lung computed tomography (CT) scans for quality assurance (QA) purposes.
Neural Networks, Computer Lung Time Factors Humans Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Quality Control
View on PubMed DOI

Computationally efficient deep neural network for computed tomography image reconstruction.

Medical physics Sep 21, 2019
PURPOSE: Deep neural network-based image reconstruction has demonstrated promising performance in medical imaging for undersampled and low-dose scenarios. However, it requires large amount of memory and extensive time for the training. It is especial...
Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning Quality Control Radiation Dosage
View on PubMed DOI

PET image denoising using unsupervised deep learning.

European journal of nuclear medicine and molecular imaging Aug 29, 2019
PURPOSE: Image quality of positron emission tomography (PET) is limited by various physical degradation factors. Our study aims to perform PET image denoising by utilizing prior information from the same patient. The proposed method is based on unsup...
Positron-Emission Tomography Quality Control Image Enhancement Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Lung Neoplasms Unsupervised Machine Learning Middle Aged Deep Learning Aged, 80 and over Humans Adult Female Male Aged
View on PubMed DOI

Predicting gamma passing rates for portal dosimetry-based IMRT QA using machine learning.

Medical physics Aug 27, 2019
PURPOSE: Intensity-modulated radiation therapy (IMRT) quality assurance (QA) measurements are routinely performed prior to treatment delivery to verify dose calculation and delivery accuracy. In this work, we applied a machine learning-based approach...
Uncertainty Quality Control Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy, Intensity-Modulated Radiometry Gamma Rays Machine Learning
View on PubMed DOI

Accelerating cardiovascular model building with convolutional neural networks.

Medical & biological engineering & computing Aug 24, 2019
The objective of this work is to reduce the user effort required for 2D segmentation when building patient-specific cardiovascular models using the SimVascular cardiovascular modeling software package. The proposed method uses a fully convolutional n...
Humans Models, Cardiovascular Uncertainty Quality Control Neural Networks, Computer Probability Algorithms Automation Image Processing, Computer-Assisted
View on PubMed DOI

Using a deep neural network for four-dimensional CT artifact reduction in image-guided radiotherapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 17, 2019
INTRODUCTION: Breathing artifact may affect the quality of four-dimensional computed tomography (4DCT) images. We developed a deep neural network (DNN)-based artifact reduction method.
Radiotherapy, Image-Guided Four-Dimensional Computed Tomography Humans Quality Control Neoplasms Artifacts Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers.

PloS one Aug 6, 2019
As the airline industry has become ever-more competitive and profitability more tenuous, airline service quality management has grown more important to airlines. Although many studies have focused on the evaluation of airline service quality, some co...
Industry Quality Control Republic of Korea Air Travel Consumer Behavior Fuzzy Logic Costs and Cost Analysis
View on PubMed DOI

Use of artificial neural network for pretreatment verification of intensity modulation radiation therapy fields.

The British journal of radiology Jul 24, 2019
OBJECTIVE: The accuracy of dose delivery for intensity modulated radiotherapy (IMRT) treatments should be determined by an accurate quality assurance procedure. In this work, we used artificial neural networks (ANNs) as an application for the pre-tre...
Radiotherapy, Intensity-Modulated Nasopharyngeal Neoplasms Particle Accelerators Prostatic Neoplasms Humans Quality Control Neural Networks, Computer Radiotherapy Dosage Machine Learning Male
View on PubMed DOI
Popular Topics
Recent Journals