A foundational vision transformer improves diagnostic performance for electrocardiograms

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 images. We...

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Detalles Bibliográficos
Autores principales: Vaid, Akhil, Jiang, Joy, Sawant, Ashwin, Lerakis, Stamatios, Argulian, Edgar, Ahuja, Yuri, Lampert, Joshua, Charney, Alexander, Greenspan, Hayit, Narula, Jagat, Glicksberg, Benjamin, Nadkarni, Girish N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242218/
https://www.ncbi.nlm.nih.gov/pubmed/37280346
http://dx.doi.org/10.1038/s41746-023-00840-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242218/
https://www.ncbi.nlm.nih.gov/pubmed/37280346
http://dx.doi.org/10.1038/s41746-023-00840-9

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