Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images
Abstract Background The 3D U-Net model has been proved to perform well in the automatic organ segmentation. The aim of this study is to evaluate the feasibility of the 3D U-Net algorithm for the automated detection and segmentation of lymph nodes (LNs) on pelvic diffusion-weighted imaging (DWI) imag...
Guardado en:
Autores principales: | Xiang Liu, Zhaonan Sun, Chao Han, Yingpu Cui, Jiahao Huang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/f85ccd718e04449ab01c7119dae24c6f |
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