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Self-Supervised Representation Learning for Ultrasound Video
Recent advances in deep learning have achieved promising performance for medical image analysis, while in most cases ground-truth annotations from human experts are necessary to train the deep model. In practice, such annotations are expensive to collect and can be scarce for medical imaging applica...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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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/PMC7266673/ https://ncbi.nlm.nih.gov/pubmed/32489519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI45749.2020.9098666 |
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