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Contrastive learning of heart and lung sounds for label-efficient diagnosis
Data labeling is often the limiting step in machine learning because it requires time from trained experts. To address the limitation on labeled data, contrastive learning, among other unsupervised learning methods, leverages unlabeled data to learn representations of data. Here, we propose a contra...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767307/ https://www.ncbi.nlm.nih.gov/pubmed/35079716 http://dx.doi.org/10.1016/j.patter.2021.100400 |