(Q52549402)

3 May 2018

title

Clinical validation of an edge detection algorithm for two-dimensional echocardiographic short-axis images. (English)

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3 May 2018

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E A Geiser

1

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3 May 2018

L H Oliver

2

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J M Gardin

3

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R E Kerber

4

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3 May 2018

A F Parisi

5

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3 May 2018

N Reichek

6

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3 May 2018

J A Werner

7

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A E Weyman

8

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3 May 2018

publication date

1 November 1988

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3 May 2018

Journal of the American Society of Echocardiography

published in

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3 May 2018

volume

1

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3 May 2018

issue

6

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3 May 2018

page(s)

410-421

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3 May 2018

Quantitative detection of regional left ventricular contraction abnormalities by two-dimensional echocardiography. I. Analysis of methods.

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Quantitative detection of regional left ventricular contraction abnormalities by two-dimensional echocardiography. II. Accuracy in coronary artery disease

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Assessment of quantitative methods for 2-dimensional echocardiography

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In vitro analysis of boundary identification techniques used in quantification of two-dimensional echocardiograms

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Importance of temporal heterogeneity in assessing the contraction abnormalities associated with acute myocardial ischemia

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Digital image processing of two dimensional echocardiograms: Identification of the endocardium

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Computer-assisted edge detection in two-dimensional echocardiography: comparison with anatomic data

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Real time computerization of two-dimensional echocardiography

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Automatic computer processing of digital 2-dimensional echocardiograms

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7 January 2021

An effective algorithm for extracting serial endocardial borders from 2-dimensional echocardiograms.

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Biplane roentgen videometric system for dynamic (60/Sec) studies of the shape and size of circulatory structures, particularly the left ventricle

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Reproducibility of left ventricular area and volume measurements using a computer endocardial edge-detection algorithm in normal subjects.

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https://api.crossref.org/works/10.1016%2FS0894-7317%2888%2980023-3

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Validation of a computerized edge detection algorithm for quantitative two-dimensional echocardiography.

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7 January 2021

10.1016/S0894-7317(88)80023-3

Identifiers

DOI

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3 May 2018

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3 May 2018