AIMC Journal:
Medical physics

Showing 611 to 620 of 759 articles

Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.

Medical physics Mar 28, 2019
PURPOSE: Lung nodules that are missed by radiologists as well as by computer-aided detection (CAD) systems mostly overlap with ribs and clavicles. Removing the bony structures would result in better visualization of undetectable lesions. Our purpose ...
Radiography, Thoracic Neural Networks, Computer Humans Clavicle Organ Specificity Ribs Image Processing, Computer-Assisted
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Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders.

Medical physics Mar 22, 2019
PURPOSE: The purpose of this study is to introduce and evaluate the mixed structure regularization (MSR) approach for a deep sparse autoencoder aimed at unsupervised abnormality detection in medical images. Unsupervised abnormality detection based on...
Unsupervised Machine Learning Coronary Angiography Signal-To-Noise Ratio Image Processing, Computer-Assisted
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Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.

Medical physics Mar 21, 2019
PURPOSE: Automatic segmentation of organs-at-risk (OARs) is a key step in radiation treatment planning to reduce human efforts and bias. Deep convolutional neural networks (DCNN) have shown great success in many medical image segmentation application...
Neural Networks, Computer Thorax Tomography, X-Ray Computed Radiotherapy, Image-Guided Imaging, Three-Dimensional Organs at Risk
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Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Medical physics Mar 12, 2019
OBJECTIVES: The aim of this study was to develop a fully automated deep learning approach for identification of the pectoral muscle on mediolateral oblique (MLO) view mammograms and evaluate its performance in comparison to our previously developed t...
Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Algorithms Female Radiologists Observer Variation Pectoralis Muscles Image Processing, Computer-Assisted Mammography Humans Neural Networks, Computer
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Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network.

Medical physics Mar 12, 2019
PURPOSE: Ventilation images can be derived from four-dimensional computed tomography (4DCT) by analyzing the change in HU values and deformable vector fields between different respiration phases of computed tomography (CT). As deformable image regist...
Image Processing, Computer-Assisted Pulmonary Ventilation Four-Dimensional Computed Tomography Humans Deep Learning
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Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning.

Medical physics Mar 4, 2019
The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a variety of proofs-of-concept many with promising results. Expected outcomes of model implementation include improvements in planning time, plan qualit...
Safety Humans Quality Assurance, Health Care Machine Learning Radiotherapy
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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.

Medical physics Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Phantoms, Imaging Electrical Equipment and Supplies Particle Accelerators Humans Automation Machine Learning Radiotherapy Dosage Neoplasms Algorithms Quality Assurance, Health Care
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U-Net based deep learning bladder segmentation in CT urography.

Medical physics Feb 28, 2019
OBJECTIVES: To develop a U-Net-based deep learning approach (U-DL) for bladder segmentation in computed tomography urography (CTU) as a part of a computer-assisted bladder cancer detection and treatment response assessment pipeline.
Urography Case-Control Studies Deep Learning Algorithms Urinary Bladder Neoplasms Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Urinary Bladder Neural Networks, Computer
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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.

Medical physics Feb 19, 2019
PURPOSE: Reliable automated segmentation of the prostate is indispensable for image-guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other ...
Automation Neural Networks, Computer Algorithms Male Humans Magnetic Resonance Imaging Imaging, Three-Dimensional Prostate Image Processing, Computer-Assisted Observer Variation
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Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.

Medical physics Feb 14, 2019
PURPOSE: In recent years, health risks concerning high-dose x-ray radiation have become a major concern in dental computed tomography (CT) examinations. Therefore, adopting low-dose computed tomography (LDCT) technology has become a major focus in th...
Image Processing, Computer-Assisted Artifacts Signal-To-Noise Ratio Radiography, Dental Radiation Dosage Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Dentistry
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