AIMC Journal:
Medical physics

Showing 541 to 550 of 759 articles

Clinical implementation of AI technologies will require interpretable AI models.

Medical physics Nov 19, 2019
Humans Nuclear Medicine Artificial Intelligence Models, Theoretical
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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.
Four-Dimensional Computed Tomography Quality Control Time Factors Neural Networks, Computer Image Processing, Computer-Assisted Lung Humans
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Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation.

Medical physics Nov 19, 2019
PURPOSE: As deep neural networks achieve more success in the wide field of computer vision, greater emphasis is being placed on the generalizations of these models for production deployment. With sufficiently large training datasets, models can typic...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Hemorrhage Humans
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Feasibility of two-dimensional dose distribution deconvolution using convolution neural networks.

Medical physics Nov 6, 2019
PURPOSE: The purpose of this study was to investigate the feasibility of two-dimensional (2D) dose distribution deconvolution using convolutional neural networks (CNNs) instead of an analytical approach for an in-house scintillation detector that has...
Neural Networks, Computer Feasibility Studies Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiometry
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Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network.

Medical physics Nov 6, 2019
OBJECTIVE: In the automatic lung nodule detection system, the authenticity of a large number of nodule candidates needs to be judged, which is a classification task. However, the variable shapes and sizes of the lung nodules have posed a great challe...
Automation Sensitivity and Specificity Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Neoplasms Knowledge Bases
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An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.

Medical physics Nov 1, 2019
PURPOSE: Segmentation of the left ventricle (LV), right ventricle (RV) cavities and the myocardium (MYO) from cine cardiac magnetic resonance (MR) images is an important step for diagnosis and monitoring cardiac diseases. Spatial context information ...
Neural Networks, Computer Databases, Factual Automation Humans Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Heart
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Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.

Medical physics Oct 31, 2019
PURPOSE: To automatically and efficiently segment the lesion area of the colonoscopy polyp image, a polyp segmentation method has been presented.
Image Processing, Computer-Assisted Colonic Polyps Neural Networks, Computer Humans Automation Colonoscopy
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A distance map regularized CNN for cardiac cine MR image segmentation.

Medical physics Oct 31, 2019
PURPOSE: Cardiac image segmentation is a critical process for generating personalized models of the heart and for quantifying cardiac performance parameters. Fully automatic segmentation of the left ventricle (LV), the right ventricle (RV), and the m...
Heart Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Neural Networks, Computer
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Technical Note: Ontology-guided radiomics analysis workflow (O-RAW).

Medical physics Oct 25, 2019
PURPOSE: Radiomics is the process to automate tumor feature extraction from medical images. This has shown potential for quantifying the tumor phenotype and predicting treatment response. The three major challenges of radiomics research and clinical ...
Image Processing, Computer-Assisted Workflow Biological Ontologies
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CT and MRI compatibility of flexible 3D-printed materials for soft actuators and robots used in image-guided interventions.

Medical physics Oct 23, 2019
PURPOSE: Three-dimensional (3D) printing allows for the fabrication of medical devices with complex geometries, such as soft actuators and robots that can be used in image-guided interventions. This study investigates flexible and rigid 3D-printing m...
Artifacts Printing, Three-Dimensional Mechanical Phenomena Robotics Equipment Design Tomography, X-Ray Computed Magnetic Resonance Imaging
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