Hypergraph and cross-attention-based unsupervised domain adaptation framework for cross-domain myocardial infarction localization-Reference-Cited by-同舟云学术

Hypergraph and cross-attention-based unsupervised domain adaptation framework for cross-domain myocardial infarction localization

Published:2023-07 Issue: Volume:633 Page:245-263
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yuan Shuaiying,He Ziyang,Zhao Jianhui,Yuan Zhiyong,Alhudhaif Adi,Alenezi Fayadh^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

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3. A multi-dimensional association information analysis approach to automated detection and localization of myocardial infarction;Zhang;Eng. Appl. Artif. Intell.,2021

4. ML–ResNet: a novel network to detect and locate myocardial infarction using 12 leads ECG;Han;Comput. Methods Programs Biomed.,2020

5. Classification of myocardial infarction with multi-lead ECG signals and deep CNN;Baloglu;Pattern Recognit. Lett.,2019

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