Noise removal in extended depth of field microscope images through nonlinear signal processing
Journal Article
Overview
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Artifacts
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Computing Methodologies - Algorithms
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Computing Methodologies - Artificial Intelligence
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Decision Making, Computer-Assisted - Image Interpretation, Computer-Assisted
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Diagnosis - Image Interpretation, Computer-Assisted
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Diagnostic Imaging - Image Enhancement
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Diagnostic Imaging - Image Interpretation, Computer-Assisted
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Diagnostic Imaging - Imaging, Three-Dimensional
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Diagnostic Imaging - Microscopy
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Environment and Public Health - Reproducibility of Results
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Environment and Public Health - Sensitivity and Specificity
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Environment and Public Health - Sensitivity and Specificity
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Environment and Public Health - Signal-To-Noise Ratio
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Environment and Public Health - Signal-To-Noise Ratio
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Health Care Evaluation Mechanisms - Reproducibility of Results
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Health Care Evaluation Mechanisms - Sensitivity and Specificity
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Health Care Evaluation Mechanisms - Sensitivity and Specificity
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Health Care Evaluation Mechanisms - Signal-To-Noise Ratio
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Health Care Evaluation Mechanisms - Signal-To-Noise Ratio
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Image Processing, Computer-Assisted - Image Enhancement
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Image Processing, Computer-Assisted - Imaging, Three-Dimensional
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Investigative Techniques - Microscopy
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Investigative Techniques - Reproducibility of Results
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Investigative Techniques - Reproducibility of Results
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Investigative Techniques - Sensitivity and Specificity
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Investigative Techniques - Sensitivity and Specificity
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Investigative Techniques - Signal-To-Noise Ratio
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Investigative Techniques - Signal-To-Noise Ratio
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Mathematical Concepts - Algorithms
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Mathematical Concepts - Artificial Intelligence
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Mathematical Concepts - Sensitivity and Specificity
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Mathematical Concepts - Signal-To-Noise Ratio
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Mathematics - Nonlinear Dynamics
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Microscopy
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Models, Theoretical - Nonlinear Dynamics
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Physics - Microscopy
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Signal Processing, Computer-Assisted
Date in CU Experts
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September 6, 2013 12:04 PM
Full Author List
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Zahreddine RN; Cormack RH; Cogswell CJ
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