AIMC Journal:
Medical physics

Showing 651 to 660 of 759 articles

Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.

Medical physics Sep 19, 2018
PURPOSE: Intensity modulated radiation therapy (IMRT) is commonly employed for treating head and neck (H&N) cancer with uniform tumor dose and conformal critical organ sparing. Accurate delineation of organs-at-risk (OARs) on H&N CT images is thus es...
Models, Theoretical Head and Neck Neoplasms Automation Organs at Risk Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted
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CNN as model observer in a liver lesion detection task for x-ray computed tomography: A phantom study.

Medical physics Sep 18, 2018
PURPOSE: The purpose of this study was the evaluation of anthropomorphic model observers trained with neural networks for the prediction of a human observer's performance.
ROC Curve Liver Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Phantoms, Imaging
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Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.

Medical physics Sep 10, 2018
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically determines the radiation therapy (RT) success. The existing dose-volume histogram-based metric may grossly under/overestimate the therapeutic toxicity ...
Humans Treatment Failure Risk Biliary Tract Liver Organs at Risk Neural Networks, Computer Radiotherapy Dosage Precision Medicine Radiotherapy Planning, Computer-Assisted Radiosurgery
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Machine learning and modeling: Data, validation, communication challenges.

Medical physics Aug 24, 2018
With the era of big data, the utilization of machine learning algorithms in radiation oncology is rapidly growing with applications including: treatment response modeling, treatment planning, contouring, organ segmentation, image-guidance, motion tra...
Communication Radiation Oncology Medical Informatics Databases, Factual Reproducibility of Results Machine Learning
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The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.

Medical physics Aug 24, 2018
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients' clinical data is an appealing, low-cost and noninvasive approach toward personalization. Machine learning algorithms could be ...
Biological Ontologies Clinical Trials as Topic Semantic Web Publications Rectal Neoplasms Humans Radiation Oncology
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Medical physics Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
Chemoradiotherapy Prognosis Neoplasms Decision Trees Area Under Curve Neural Networks, Computer Logistic Models Humans Machine Learning Software
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Improving resolution of MR images with an adversarial network incorporating images with different contrast.

Medical physics May 18, 2018
PURPOSE: The routine MRI scan protocol consists of multiple pulse sequences that acquire images of varying contrast. Since high frequency contents such as edges are not significantly affected by image contrast, down-sampled images in one contrast may...
Image Enhancement Machine Learning Neural Networks, Computer Magnetic Resonance Imaging
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An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.

Medical physics May 9, 2018
PURPOSE: To develop and evaluate a new automatic classification algorithm to identify voxels containing skin, vasculature, adipose, and fibroglandular tissue in dedicated breast CT images.
Breast Pattern Recognition, Automated Humans Tomography, X-Ray Computed Cluster Analysis Adipose Tissue Mammography Unsupervised Machine Learning Skin
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Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.

Medical physics May 3, 2018
PURPOSE: Manual contouring of gross tumor volumes (GTV) is a crucial and time-consuming process in rectum cancer radiotherapy. This study aims to develop a simple deep learning-based autosegmentation algorithm to segment rectal tumors on T2-weighted ...
Magnetic Resonance Imaging Rectum Tumor Burden Pattern Recognition, Automated Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Machine Learning Rectal Neoplasms
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Deep nets vs expert designed features in medical physics: An IMRT QA case study.

Medical physics Apr 18, 2018
PURPOSE: The purpose of this study was to compare the performance of Deep Neural Networks against a technique designed by domain experts in the prediction of gamma passing rates for Intensity Modulated Radiation Therapy Quality Assurance (IMRT QA).
Radiotherapy Planning, Computer-Assisted Humans Health Physics Radiotherapy, Intensity-Modulated Particle Accelerators Quality Assurance, Health Care Neural Networks, Computer Gamma Rays
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