AIMC Journal:
Medical physics

Showing 731 to 740 of 759 articles

A mathematical framework for virtual IMRT QA using machine learning.

Medical physics Jul 1, 2016
PURPOSE: It is common practice to perform patient-specific pretreatment verifications to the clinical delivery of IMRT. This process can be time-consuming and not altogether instructive due to the myriad sources that may produce a failing result. The...
Humans Machine Learning Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Treatment Failure Radiometry Regression Analysis Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Medical physics Jun 1, 2016
PURPOSE: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional e...
Sensitivity and Specificity Positron Emission Tomography Computed Tomography Male ROC Curve Lung Humans Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Whole Body Imaging Support Vector Machine Neural Networks, Computer Female
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Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness.

Medical physics May 1, 2016
PURPOSE: There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic magnetic resonance imagin...
Respiratory System Polycystic Ovary Syndrome Pattern Recognition, Automated Respiration Fuzzy Logic Sleep Apnea, Obstructive Reproducibility of Results Motion Adolescent Time Factors Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Female
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Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.

Medical physics May 1, 2016
PURPOSE: Given the paucity of available data concerning radiotherapy-induced urinary toxicity, it is important to ensure derivation of the most robust models with superior predictive performance. This work explores multiple statistical-learning strat...
Comorbidity Severity of Illness Index ROC Curve Aged, 80 and over Male Middle Aged Prostatic Neoplasms Prostate Models, Biological Logistic Models Follow-Up Studies Area Under Curve Humans Neural Networks, Computer Machine Learning Prognosis Aged Multivariate Analysis Urination Disorders Radiotherapy
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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Medical physics Apr 1, 2016
PURPOSE: The authors are developing a computerized system for bladder segmentation in CT urography (CTU) as a critical component for computer-aided detection of bladder cancer.
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Urography Reference Standards Likelihood Functions Urinary Bladder
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Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.

Medical physics Mar 1, 2016
PURPOSE: In an attempt to overcome several hurdles that exist in organ segmentation approaches, the authors previously described a general automatic anatomy recognition (AAR) methodology for segmenting all major organs in multiple body regions body-w...
Pattern Recognition, Automated Radiography, Thoracic Humans Thorax Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Fuzzy Logic Automation
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Reducing streak artifacts in computed tomography via sparse representation in coupled dictionaries.

Medical physics Mar 1, 2016
PURPOSE: Reducing the number of acquired projections is a simple and efficient way to reduce the radiation dose in computed tomography (CT). Unfortunately, this results in streak artifacts in the reconstructed images that can significantly reduce the...
Humans Machine Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Artifacts
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Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Medical physics Mar 1, 2016
PURPOSE: Automatic brain image labeling is highly demanded in the field of medical image analysis. Multiatlas-based approaches are widely used due to their simplicity and robustness in applications. Also, random forest technique is recognized as an e...
Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Machine Learning Automation
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Automated fluence map optimization based on fuzzy inference systems.

Medical physics Mar 1, 2016
PURPOSE: The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary fo...
Automation Radiotherapy Dosage Fuzzy Logic Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed
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Nonlocal atlas-guided multi-channel forest learning for human brain labeling.

Medical physics Feb 1, 2016
PURPOSE: It is important for many quantitative brain studies to label meaningful anatomical regions in MR brain images. However, due to high complexity of brain structures and ambiguous boundaries between different anatomical regions, the anatomical ...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Nonlinear Dynamics Brain
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