2020
DOI: 10.21203/rs.3.rs-80044/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Deep Polar Residual Network for Identifying Myocardial Infarction in Mce Imaging

Abstract: Background: Ultrasonic diagnosis of myocardial infarction (MI) varies markedly among radiologists, and is also time-consuming. In addition, there is a high level of inter-observer variation in diagnosis of MI. The purpose of this study is to develop a deep learning-based model that automatically recognizes MI in myocardial contrast echocardiography(MCE) images, and to compare the model performance against radiologists with varying experience in echocardiography.Methods: In this study, a polar residual network … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 30 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?