A deep learning-based self-adapting ensemble method for segmentation in gynecological brachytherapy

PURPOSE: Fast and accurate outlining of the organs at risk (OARs) and high-risk clinical tumor volume (HRCTV) is especially important in high-dose-rate brachytherapy due to the highly time-intensive online treatment planning process and the high dose gradient around the HRCTV. This study aims to app...

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Detalles Bibliográficos
Autores principales: Li, Zhen, Zhu, Qingyuan, Zhang, Lihua, Yang, Xiaojing, Li, Zhaobin, Fu, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446699/
https://www.ncbi.nlm.nih.gov/pubmed/36064571
http://dx.doi.org/10.1186/s13014-022-02121-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446699/
https://www.ncbi.nlm.nih.gov/pubmed/36064571
http://dx.doi.org/10.1186/s13014-022-02121-3

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