Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network

BACKGROUND: Accurate segmentation of pelvic bones is an initial step to achieve accurate detection and localisation of pelvic bone metastases. This study presents a deep learning-based approach for automated segmentation of normal pelvic bony structures in multiparametric magnetic resonance imaging...

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Detalles Bibliográficos
Autores principales: Liu, Xiang, Han, Chao, Wang, He, Wu, Jingyun, Cui, Yingpu, Zhang, Xiaodong, Wang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263843/
https://www.ncbi.nlm.nih.gov/pubmed/34232404
http://dx.doi.org/10.1186/s13244-021-01044-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263843/
https://www.ncbi.nlm.nih.gov/pubmed/34232404
http://dx.doi.org/10.1186/s13244-021-01044-z

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