What does this research mean for the field?

A machine learning approach using Histogram of Oriented Gradients (HOG) features and a Support Vector Machine classifier can automatically classify standard echocardiogram views (Parasternal Long Axis and Short Axis) with approximately 98% accuracy. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

April 1, 2013

Automatic view classification of echocardiograms using Histogram of Oriented Gradients

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Population

703 B-mode echocardiogram images (Parasternal Long Axis and Short Axis views)

Authors

DAD. P. AgarwalNortheastern University KSK. S. ShriramGeneral Electric (United States)NSNavneeth SubramanianBirla Institute of Technology, Mesra

Discussion

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Implication

Supports feasibility of automated echocardiographic view classification; leaves open prospective validation in larger, diverse datasets.

Structured PICO

Population

703 B-mode echocardiogram images (Parasternal Long Axis and Short Axis views)

Intervention

Automatic view classification using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) classifier

Outcome

Accuracy of automatic recognition and classification of standard views

An automated machine learning approach using Histogram of Oriented Gradients can accurately classify standard echocardiographic views with 98% accuracy.

Cite This Study

Agarwal et al. (2013) studied this question.

synapsesocial.com/papers/6a1bc8e39dc17f23939cc2c6 https://doi.org/10.1109/isbi.2013.6556787

Topics

Echocardiography

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Automatic view classification of echocardiograms using Histogram of Oriented Gradients

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Topics

Automatic view classification of echocardiograms using Histogram of Oriented Gradients

Discussion

Member takes

Implication

Structured PICO

Cite This Study

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Topics

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