AIMC Topic: Scattering, Radiation

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Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.

Medical physics Jun 5, 2019
PURPOSE: Scatter is a major factor degrading the image quality of cone beam computed tomography (CBCT). Conventional scatter correction strategies require handcrafted analytical models with ad hoc assumptions, which often leads to less accurate scatt...
Workflow Artifacts Monte Carlo Method Scattering, Radiation Neural Networks, Computer Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.

Journal of clinical pathology Apr 16, 2019
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...
Liver Diseases Humans Hemolysis Machine Learning Leukocyte Count Automation, Laboratory Reproducibility of Results Light Scattering, Radiation Case-Control Studies Anemia Predictive Value of Tests Erythrocytes Leukocytes
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Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells.

Journal of biophotonics May 11, 2018
Accurate and immediate diagnosis of malaria is important for medication of the infectious disease. Conventional methods for diagnosing malaria are time consuming and rely on the skill of experts. Therefore, an automatic and simple diagnostic modality...
Light Humans Erythrocytes Machine Learning Scattering, Radiation Malaria Holography
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A machine learning approach to the accurate prediction of monitor units for a compact proton machine.

Medical physics Mar 23, 2018
PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor units (MUs) in passive scatter proton therapy due to the complexity of the beam delivery systems. Physical phantom measurements are commonly employed t...
Radiotherapy Planning, Computer-Assisted Scattering, Radiation Phantoms, Imaging Proton Therapy Humans Machine Learning
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Carboxybetaine-modified succinylated chitosan-based beads encourage pancreatic β-cells (Min-6) to form islet-like spheroids under in vitro conditions.

Journal of materials science. Materials in medicine Dec 30, 2017
In vitro, pancreatic β-cells tend to reduce their ability to aggregate into islets and lose insulin-producing ability, likely due to insufficient cell-cell and cell-matrix interactions that are essential for β-cell retention, viability and functional...
Homeodomain Proteins Scattering, Radiation Microscopy, Fluorescence Spectroscopy, Fourier Transform Infrared Insulin Secretion Insulin-Secreting Cells Spheroids, Cellular Animals Cadherins Carbon Lasers Trans-Activators Cell Culture Techniques Insulin Molecular Dynamics Simulation Cell Survival Microscopy, Electron, Scanning Betaine Mice Chitosan Surface Properties
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A facile and sensitive peptide-modulating graphene oxide nanoribbon catalytic nanoplasmon analytical platform for human chorionic gonadotropin.

International journal of nanomedicine Dec 12, 2017
The nanogold reaction between HAuCl and citrate is very slow, and the catalyst graphene oxide nanoribbon (GONR) enhanced the nanoreaction greatly to produce gold nanoparticles (AuNPs) that exhibited strong surface plasmon resonance (SPR) absorption (...
Nanotubes, Carbon Chorionic Gonadotropin Scattering, Radiation Catalysis Surface Plasmon Resonance Graphite Gold Humans Metal Nanoparticles Female Limit of Detection Sensitivity and Specificity Oxides
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The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying.

Journal of the science of food and agriculture Sep 11, 2017
BACKGROUND: Drying is a method used to preserve agricultural crops. During the drying of products with high moisture content, structural changes in shape, volume, area, density and porosity occur. These changes could affect the final quality of dried...
Desiccation Scattering, Radiation Ipomoea batatas Optical Devices Temperature Light Lasers Plant Tubers Neural Networks, Computer Computers
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Characterization and prediction of the backscattered form function of an immersed cylindrical shell using hybrid fuzzy clustering and bio-inspired algorithms.

Ultrasonics Jun 20, 2017
The acoustic scattering of a plane wave by an elastic cylindrical shell is studied. A new approach is developed to predict the form function of an immersed cylindrical shell of the radius ratio b/a ('b' is the inner radius and 'a' is the outer radius...
Sound Biomimetics Radiation Dosage Scattering, Radiation Radiometry Algorithms Computer Simulation Models, Theoretical Fuzzy Logic
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Robust phase-based texture descriptor for classification of breast ultrasound images.

Biomedical engineering online Mar 24, 2015
BACKGROUND: Classification of breast ultrasound (BUS) images is an important step in the computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase-based texture descriptor is proposed for efficient and robust classifiers t...
Female Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Support Vector Machine Diagnosis, Differential Area Under Curve Humans Fibroadenoma Carcinoma Papilloma, Intraductal Ultrasonography, Mammary Physical Phenomena Scattering, Radiation
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Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 11, 2014
In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (...
Scattering, Radiation Reproducibility of Results Equipment Failure Analysis Radiometry Sensitivity and Specificity Pattern Recognition, Automated Neural Networks, Computer Radiotherapy, Conformal Equipment Design Filtration Radiotherapy Dosage
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