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Article

Swin Transformer for Automated Severity Classification of Aortic Regurgitation from Echocardiographic Images: A Multi-Center Study

2026-07-24

Abstract excerpt

<title>Abstract</title> <p>Background Accurate grading of aortic regurgitation (AR) is essential for follow-up, treatment planning, and prognostic assessment. Transthoracic echocardiography is the first-line modality for AR evaluation, but conventional grading depends on image quality, operator experience, and multiparametric interpretation, leading to subjectivity and interobserver variability. This study aimed...

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Literature Corpus work
f7ee2c95-aada-5274-b98c-dac7368bfc41
DOI
10.21203/rs.3.rs-10220230/v1
Open publication

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Swin Transformer for Automated Severity Classification of Aortic Regurgitation from Echocardiographic Images: A Multi-Center StudyDOI 10.21203/rs.3.rs-10220230/v1
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