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Data Augmentation for Brain-Tumor Segmentation: A Review
Data augmentation is a popular technique which helps improve generalization capabilities of deep neural networks, and can be perceived as implicit regularization. It plays a pivotal role in scenarios in which the amount of high-quality ground-truth data is limited, and acquiring new examples is cost...
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| Publicado no: | Front Comput Neurosci |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6917660/ https://ncbi.nlm.nih.gov/pubmed/31920608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2019.00083 |
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