Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification

Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification

Abstract Cardiovascular diseases are a global health challenge that necessitates improvements in diagnostic accuracy and efficiency. This study examines the potential of deep learning (DL) models for the classification of electrocardiogram (ECG) images to assist in the identification of various card...

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Bibliographic Details
Main Authors: Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Journal of Big Data
Subjects:
Cardiovascular diseases
Deep learning
ECG classification
Neural network architectures
Transfer learning
Ensemble learning
Online Access:https://doi.org/10.1186/s40537-025-01070-4

Internet

https://doi.org/10.1186/s40537-025-01070-4

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