Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty

PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulate the placement of joint implants on computed tomography (CT), pelvis and femur must be segmented. Accurate and rapid segmentation of the hip joint is challenging. This study aimed to develop a novel...

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Detalles Bibliográficos
Autores principales: Wu, Dong, Zhi, Xin, Liu, Xingyu, Zhang, Yiling, Chai, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922800/
https://www.ncbi.nlm.nih.gov/pubmed/35292056
http://dx.doi.org/10.1186/s13018-022-02932-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922800/
https://www.ncbi.nlm.nih.gov/pubmed/35292056
http://dx.doi.org/10.1186/s13018-022-02932-w

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