Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D-Echo Fusion Algorithm in Echocardiogram Videos
TL;DR
This paper introduces a hybrid deep learning model combining CNNs and RNNs with dual attention mechanisms and a 3D-echo fusion algorithm to improve heart disease classification from echocardiogram videos, aiding early detection.
Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D-Echo Fusion Algorithm in Echocardiogram Videos
S Deepika; N. Jaisankar
https://doi.org/10.1109/ACCESS.2024.3522996
Volume 13
Heart disease remains a leading cause of mortality worldwide, making early detection and diagnosis crucial for preventing severe outcomes. Echocardiogram based classification of heart valve conditions is vital for effectively diagnosing and managing heart disease. In this paper, we present a novel hybrid deep learning framework that integrates convolutional neural networks (CNNs) with recurrent ne...