AIMC Journal:
Medical physics

Showing 681 to 690 of 759 articles

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.

Medical physics Aug 31, 2017
PURPOSE: We propose a single network trained by pixel-to-label deep learning to address the general issue of automatic multiple organ segmentation in three-dimensional (3D) computed tomography (CT) images. Our method can be described as a voxel-wise ...
Imaging, Three-Dimensional Tomography, X-Ray Computed Lung Humans Machine Learning
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Learning-based automated segmentation of the carotid artery vessel wall in dual-sequence MRI using subdivision surface fitting.

Medical physics Aug 30, 2017
PURPOSE: The quantification of vessel wall morphology and plaque burden requires vessel segmentation, which is generally performed by manual delineations. The purpose of our work is to develop and evaluate a new 3D model-based approach for carotid ar...
Humans Adult Male Image Processing, Computer-Assisted Machine Learning Aged Pattern Recognition, Automated Carotid Arteries Magnetic Resonance Imaging Automation
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Brain tumor segmentation using holistically nested neural networks in MRI images.

Medical physics Aug 20, 2017
PURPOSE: Gliomas are rapidly progressive, neurologically devastating, largely fatal brain tumors. Magnetic resonance imaging (MRI) is a widely used technique employed in the diagnosis and management of gliomas in clinical practice. MRI is also the st...
Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Neural Networks, Computer Brain Neoplasms Humans
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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets.

Medical physics Aug 12, 2017
BACKGROUND: Deep learning methods for radiomics/computer-aided diagnosis (CADx) are often prohibited by small datasets, long computation time, and the need for extensive image preprocessing.
ROC Curve Image Processing, Computer-Assisted Humans Neural Networks, Computer Breast Neoplasms Retrospective Studies Diagnosis, Computer-Assisted
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CyberKnife with integrated CT-on-rails: System description and first clinical application for pancreas SBRT.

Medical physics Aug 2, 2017
PURPOSE: This article reports on the integration of a sliding-gantry CT-on-rails with a robotic linear accelerator.
Humans Tomography, X-Ray Computed Radiosurgery Phantoms, Imaging Particle Accelerators Robotics Germany
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Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

Medical physics Jul 18, 2017
PURPOSE: Colitis refers to inflammation of the inner lining of the colon that is frequently associated with infection and allergic reactions. In this paper, we propose deep convolutional neural networks methods for lesion-level colitis detection and ...
Support Vector Machine Colitis Tomography, X-Ray Computed Humans Sensitivity and Specificity Neural Networks, Computer
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Computerized detection of leukocytes in microscopic leukorrhea images.

Medical physics Jul 18, 2017
PURPOSE: Detection of leukocytes is critical for the routine leukorrhea exam, which is widely used in gynecological examinations. An elevated vaginal leukocyte count in women with bacterial vaginosis is a strong predictor of vaginal or cervical infec...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Support Vector Machine Female Leukocytes Leukorrhea
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A neural network approach for fast, automated quantification of DIR performance.

Medical physics Jul 17, 2017
PURPOSE: A critical step in adaptive radiotherapy (ART) workflow is deformably registering the simulation CT with the daily or weekly volumetric imaging. Quantifying the deformable image registration accuracy under these circumstances is a complex ta...
Costs and Cost Analysis Humans Neck Image Processing, Computer-Assisted Neural Networks, Computer Head Algorithms Tomography, X-Ray Computed
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Fully automatic detection of lung nodules in CT images using a hybrid feature set.

Medical physics Jun 16, 2017
PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantl...
Diagnosis, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Sensitivity and Specificity Humans Radiographic Image Interpretation, Computer-Assisted Support Vector Machine Algorithms Solitary Pulmonary Nodule
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Machine learning will transform radiology significantly within the next 5 years.

Medical physics Apr 20, 2017
Image Interpretation, Computer-Assisted Humans Radiography Pattern Recognition, Automated Radiology Machine Learning
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