automated image analysis
Automated image analysis in the study of collagenous colitis
... Patients and methods: A training set consisting of ten biopsies diagnosed as CC, CCi, and normal colon mucosa was used to develop the automated image analysis (VG app) to match the assessment by a ...
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Object orientated automated image analysis: quantitative and qualitative estimation of inflammation in mouse lung
... of automated image analysis can give accurate readings of pulmonary inflammatory changes in ...of analysis, we can analyse complex structures and generate biologically descriptive ...
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Automated image analysis for petrographic image assessments
... In the quartz grain measurement phase, the adaptive thresholding, median filter and blob analysis are used for obtaining the quartz grains, and the modified watershed[r] ...
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Automated image analysis in the study of lymphocyte subpopulation in eosinophilic oesophagitis
... Methods: From 2010 to 2013, 35 oesophageal biopsies from EoE and GERD patients were randomly selected. In six EoE biopsies, patients had been treated with selective food exclusion diet. Immunohistochemical study with ...
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How automated image analysis techniques help scientists in species identification and classification?
... an automated iden- tification ...discriminant analysis (LDA) and KNN and two non-linear classifiers, multilayer perceptron (MLP) and support vector machine ...their automated insect identification ...
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Automated image analysis systems to quantify physical and behavioral attributes of biological entities
... for image acquisition and data analysis towards unravelling physical and behavioral attributes of biological ...where automated instrumentation has enhanced the experimental throughput and sampling ...
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Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures
... Discussion Monitoring cell morphology is an essential part of clinical-grade MSC manufacturing [30]. However, simple methods for objective quantitation of changes in cell morphology during MSC culture are lacking. Aged ...
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ARAM: an automated image analysis software to determine rosetting parameters and parasitaemia in Plasmodium samples
... Error analysis Above the necessity of utilizing a statistical error is described. In Fig. 6 the impact of sample size on the results is exemplarily demonstrated. On the x-axis the count of analysed RBC is shown. ...
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Automated Detection and Quantification of Prostate Cancer in Needle Biopsies by Digital Image Analysis
... imaging analysis applied in pathology clinical practice include a lack of standardized quantitative imaging tools; inability to reproduce standard automated digital image analysis across ...
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Automated multidimensional image analysis reveals a role for Abl in embryonic wound repair
... novel image-analysis tool for the automated quantification of three-dimensional (3D) cell behavior and wound- closure dynamics from confocal microscopy ...of automated image ...
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Optimizing the SG Iron Properties by Designing an Automated Microstrucure Image Analysis System
... results. Automated image analysis allows the operator to evaluate many more fields to better obtain an average rating of the ...microstructure. Image analysis will also minimize the ...
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Novel Automated Method for Minirhizotron Image Analysis: Root Detection using Curvelet Transform
... minirhizotron image analysis was conducted by using manual procedures which will give detailed information on root production and ...the automated image analysis has been substituted ...
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Automated 3D breast ultrasound image analysis
... To improve localization and detection performance of readers, and to facilitate the further use of the CADe system, in chapter 6 we proposed a method that allows radiolo- gists to locate potential abnormalities in other ...
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Deep Learning for Automated Medical Image Analysis
... In chapter 6, we propose an end-to-end, atlas-free 3D convolutional deep learning frame- work for fast and fully automated whole-volume HaN anatomy segmentation [116]. Our deep learning model, called AnatomyNet, ...
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Automated Retinal Image Analysis over the Internet
... Badrinath Roysam received the B. Tech degree in electronics engineering from the Indian Institute of Technology, Madras, India, in 1984, and the M.S. and D.Sc. degrees from Washington University, St. Louis, in 1987, and ...
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Image analysis and platform development for automated phenotyping in cytomics
... or analysis of drug ...dedicated image analysis solution for HT/HC screen analysis combining robust Watershed Masked Clustering (WMC) segmentation algorithm and Kernel Density Estimation (KDE) ...
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Markov Chain Monte Carlo for Automated Face Image Analysis
... Table10Comparisonofdifferentstateoftheartfittingalgorithms MethodOurs2016Romdhani2005Blanz2003Aldrian2013 ModelTypePPCAPCAPCAPPCA AlgorithmDDMCMCLevenberg-Marquardt(multi-stage)StochasticNewtonBilinear,specific ...
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Automated Detection of Diabetic Retinopathy Using Fundus Image Analysis
... Abstract-Diabetic retinopathy is one of the serious eye diseases that can cause blindness and vision loss. Diabetes mellitus, a metabolic disorder, has become one of the rapidly increasing health threats both in India ...
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OBJECT BASED IMAGE ANALYSIS FOR AUTOMATED INFORMATION EXTRACTION A SYNTHESIS
... the analysis we may ask: is the provision of objects a prerequisite or the target of the analysis or both? In other words is the approach primarily based on objects or rather oriented towards them? An ...
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Automated Retinal Lesion Detection via Image Saliency Analysis
... Cheng et al.[35] suggest that spatial variance is a potential measure of an element’s distribution. Low variance of its compactness implies that an element should be considered more salient than one that is spatially ...
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