A foundational vision transformer improves diagnostic performance for electrocardiograms

Abstract The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal performance when pre-training is done on natural i...

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מידע ביבליוגרפי

Principais autores:	Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin Glicksberg, Girish N Nadkarni
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2023-06-01
סדרה:	npj Digital Medicine
גישה מקוונת:	https://doi.org/10.1038/s41746-023-00840-9
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