Residual Deformable Split Channel and Spatial U-Net for Automated Liver and Liver Tumour Segmentation.
Accurate segmentation of the liver and liver tumour (LT) is challenging due to its hazy boundaries and large shape variability. Although using U-Net for liver and LT segmentation achieves better results than manual segmentation, it loses spatial and channel features during segmentation, leading to i...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 5; pp. 2164 - 2179 |
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| Autores principales: | , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2023
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| Acceso en línea: | Ver este registro en EBSCOhost |