A two-step deep learning method for 3DCT-2DUS kidney registration during breathing

This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which comprises a feature network, and a 3D–2D CNN-based registration network. The feature network has handcrafted texture feature layers to reduce the semantic gap. The registrat...

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Detalles Bibliográficos
Autores principales: Chi, Yanling, Xu, Yuyu, Liu, Huiying, Wu, Xiaoxiang, Liu, Zhiqiang, Mao, Jiawei, Xu, Guibin, Huang, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409729/
https://www.ncbi.nlm.nih.gov/pubmed/37553480
http://dx.doi.org/10.1038/s41598-023-40133-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409729/
https://www.ncbi.nlm.nih.gov/pubmed/37553480
http://dx.doi.org/10.1038/s41598-023-40133-5

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