Biometric contrastive learning for data-efficient deep learning from electrocardiographic images
<p><strong>Objective: </strong>Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). However, traditional supervised learning is limited by the need for large amounts of labeled data. We report the development of Biometric Contrastive...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference item |
| Language: | English |
| Published: |
Oxford University Press
2024
|