automatic segmentation
MOCCA: Measure of Confidence for Corpus Analysis Automatic Reliability Check of Transcript and Automatic Segmentation
... The MOCCA tagger was based on a classification ap- proach, which introduces a post-processing step after the actual alignment. The general setup of the experiments was as follows: test data consisting of the speech ...
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Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data
... an automatic system is that polyp classification algorithms require manual segmentations of the polyps, so we automatically segment polyps in colonoscopic NBI ...for automatic segmentation of a test ...
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Regional Pronunciation Variants for Automatic Segmentation
... in automatic segmentation of regional speech variants, these rules are clustered and implemented depending on regional specification in the Munich Automatic Segmentation ...
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Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image: a focused assistive diagnostic method
... for automatic segmentation of SSP tendon from ultra- sound image is ...for segmentation and results of diagnosis for pathological conditions suggests the effectiveness of pro- posed ...
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Quantitative evaluation of an automatic segmentation method for 3D reconstruction of intervertebral scoliotic disks from MR images
... The classification process, as described in [21], is used exclusively in the sagittal images to label the closed con- tours as either intervertebral disks or background. In short, the classification step allows us to ...
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Automatic segmentation of biomedical images
... In this paper, a new technique is presented which combines thresholding and probabilistic Relaxation Labelling Process (RLP) for automatic segmentation.. of EM images.[r] ...
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Automatic Segmentation of Multiparty Dialogue
... the automatic segmentation models in prior work were developed for predicting top- level topic ...story segmentation using ASR transcription has shown performance degradation from 5% to 38% using ...
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Semi automatic segmentation of myocardium at risk in T2 weighted cardiovascular magnetic resonance
... Background: T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promising technique for determination of ischemic myocardium, referred to as myocardium at risk (MaR), after an acute coronary event. ...
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Review on Automatic Segmentation Techniques in Medical Images
... the segmentation of lungs in CT scanned images proposed by ...discussed automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT ...lung segmentation ...
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Automatic segmentation of centromeres, foci and delineation of chromosomes
... an automatic algorithm for the segmentation of centromeres and foci of DNA processing proteins, as well as the delineation of convoluted ...fully automatic and does not require tuning of ...fully ...
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Automatic Segmentation and Recognition of Lung Region
... the segmentation structures are based on gray level thresholding which also includes histogram thresholding, iterative or automated 3D thresholding, multiple 2D ...lung segmentation and are based on texture ...
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An automatic segmentation method for heart sounds
... sound segmentation algorithm that combines time-domain, frequency-domain and time–frequency-domain ...of segmentation provides a good basis for extracting signifi- cant features of heart ...
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Automatic Segmentation of Retinal Blood Vessels
... In this paper we have a tendency to have a propensity to face stay playing the lowest fact and fuzzy segmentation. Through exercising the ones techniques that the membrane vessel picture its miles cut up proper ...
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Automatic Segmentation and 3D Reconstruction of Liver and Tumor
... In the data preparation test, two different factors are investigated, the slice arrangement and the image contrast. The slice arrangement defines the number of slices that are used for training the network. Instead of ...
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Automatic Segmentation and Indexing Image Colors
... To achieve this goal the image segmented to many parts after converting color image to binary image based on Y component from the YCbCr color space.. Color factors determined for[r] ...
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Automatic glioma segmentation based on adaptive superpixel
... clinical segmentation of gliomas. More- over, using the segmentation result of the edema area as ROI of each sequence can provide information on all types of regions of tumors because such an area often ...
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Segmentation of Outer Retinal Layers Using Model Selection Algorithms
... of automatic method and manual annotations was evaluated on healthy ...the segmentation performed manually by a medical doctor and results obtained from the automatic segmentation was ...the ...
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Novel Center Symmetric Local Binary Pattern And Chi Square Fuzzy C-Mean Clustering Based Segmentation In Medical Imaging Technique
... manual segmentation is time consuming and complex ...complication, automatic segmentations methods were introduced to detect the of brain tumor such as region growing [2], thresholding [3], artificial ...
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Automatic Foreground Initialization for Binary Image Segmentation
... and segmentation very fast, while developing a computer system that can automatically and in real time detect and segment an object is something that computer vision scientists have been working on for ...various ...
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QUANTIFICATION OF PLEURAL EFFUSION ON CT IMAGES BY AUTOMATIC AND MANUAL SEGMENTATION
... and automatic segmentation of CT images and to perform the comparison of automatic and manual segmentation for the quantification of pleural effusion on CT images which provides help in the ...
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