UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305566


Registration ID:
515407

Page Number

f445-f448

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Title

Review Paper on Four Chamber Echocardiograms Using Deep Learning

Abstract

The most used modality for evaluating heart functioning is echocardiography. Yet the quality of the pictures affects how accurate the echocardiographic readings are. Today, evaluating picture quality involves a subjective procedure in which an expert in echocardiography examines the images visually. Therefore, the need for an automated image quality assessment system. Here, we have discussed the viability of creating such automatic quality grading systems utilizing deep learning.

Key Words

CNN, Image Processing, Kaggle

Cite This Article

"Review Paper on Four Chamber Echocardiograms Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.f445-f448, May-2023, Available :http://www.jetir.org/papers/JETIR2305566.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Review Paper on Four Chamber Echocardiograms Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppf445-f448, May-2023, Available at : http://www.jetir.org/papers/JETIR2305566.pdf

Publication Details

Published Paper ID: JETIR2305566
Registration ID: 515407
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: f445-f448
Country: pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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