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Compound W-Net with Fully Accumulative Residual Connections for Liver Segmentation Using CT Images
Computed tomography (CT) is a common modality for liver diagnosis, treatment, and follow-up process. Providing accurate liver segmentation using CT images is a crucial step towards those tasks. In this paper, we propose a stacked 2-U-Nets model with three different types of skip connections. The pro...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850044/ https://www.ncbi.nlm.nih.gov/pubmed/35186116 http://dx.doi.org/10.1155/2022/8501828 |