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Context-aware augmentation for liver lesion segmentation: shape uniformity, expansion limit and fusion strategy
BACKGROUND: Data augmentation with context has been an effective way to increase the robustness and generalizability of deep learning models. However, to our knowledge, shape uniformity, expansion limit, and fusion strategy of context have yet to be comprehensively studied, particularly in lesion se...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423356/ https://www.ncbi.nlm.nih.gov/pubmed/37581084 http://dx.doi.org/10.21037/qims-22-1399 |