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Vol. 7, June, Issue 6

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REVIEW OF AUTOMATICQUALITY ASSESSMENT OF ECHOCARDIOGRAPHY IN APICALFOUR CHAMBERS USINGCONVOLUTIONAL NEURAL NETWORK

Abstract

Abstract: Now-a- day’s main cause ofpremature death is due to heart disease. People are taking less care of heart.This paper proposes to study Convolutional Neural Networks in medical science.It focuses on echocardiography. 2D echocardiogram is the test in which picturesof heart and various parts of heart are taken with the help of probe.  The motive of this work is to decrease theoverhead of the cardiologist. This approach will result in pointing theabnormality in the heart. Since, cardiologist and less experienced surgeons maytake a while to figure out the defect or may miss the defect in the heart, thisis a powerful approach which can detect even a little defect in heart whichhuman eye tends to ignore.

Keywords:Convolutional neuralnetwork, Deep learning, Echocardiography, Quality assessment.


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