Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abn...

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Bibliographic Details
Main Authors: Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz, Elzbieta Jasinska
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
abnormalities
Convolutional Neural Network (CNN)
echocardiogram
Long Short Term Memory (LSTM)
regurgitation
Variational AutoEncoder (VAE)
Online Access:https://www.mdpi.com/2079-9292/10/4/495

Internet

https://www.mdpi.com/2079-9292/10/4/495

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