Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.
This paper proposes a new network framework, which leverages EfficientNetB4, attention gate, and residual learning techniques to achieve automatic and accurate liver segmentation. First, we use EfficientNetB4 as the encoder to extract more feature information during the encoding stage. Then, an atte...
| Publicado en: | Journal of Digital Imaging Vol. 35; no. 6; pp. 1479 - 1494 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |