Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images

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) images. METH...

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Detalles Bibliográficos
Autores principales: Liu, Xiang, Sun, Zhaonan, Han, Chao, Cui, Yingpu, Huang, Jiahao, Wang, Xiangpeng, Zhang, Xiaodong, Wang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590773/
https://www.ncbi.nlm.nih.gov/pubmed/34774001
http://dx.doi.org/10.1186/s12880-021-00703-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590773/
https://www.ncbi.nlm.nih.gov/pubmed/34774001
http://dx.doi.org/10.1186/s12880-021-00703-3

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