Gaussian filter facilitated deep learning-based architecture for accurate and efficient liver tumor segmentation for radiation therapy
PurposeAddressing the challenges of unclear tumor boundaries and the confusion between cysts and tumors in liver tumor segmentation, this study aims to develop an auto-segmentation method utilizing Gaussian filter with the nnUNet architecture to effectively distinguish between tumors and cysts, enha...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2024-06-01
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| coleção: | Frontiers in Oncology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1423774/full |
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