Deep learning applications in automatic segmentation and reconstruction in CT-based cervix brachytherapy

PURPOSE: Motivated by recent advances in deep learning, the purpose of this study was to investigate a deep learning method in automatic segment and reconstruct applicators in computed tomography (CT) images for cervix brachytherapy treatment planning. MATERIAL AND METHODS: U-Net model was developed...

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Detalles Bibliográficos
Autores principales: Hu, Hai, Yang, Qiang, Li, Jie, Wang, Pei, Tang, Bin, Wang, Xianliang, Lang, Jinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170523/
https://www.ncbi.nlm.nih.gov/pubmed/34122573
http://dx.doi.org/10.5114/jcb.2021.106118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170523/
https://www.ncbi.nlm.nih.gov/pubmed/34122573
http://dx.doi.org/10.5114/jcb.2021.106118

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