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Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
In medical imaging, manual annotations can be expensive to acquire and sometimes infeasible to access, making conventional deep learning-based models difficult to scale. As a result, it would be beneficial if useful representations could be derived from raw data without the need for manual annotatio...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7116253/ https://ncbi.nlm.nih.gov/pubmed/33103162 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59716-0_51 |
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