Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer

Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer with external beam radiation therapy (EBRT) and brachytherapy (BT). The purpose of this study was to evaluate the accuracy of EBRT planning structures derived from DL based auto-segmentation compared wit...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jiahao, Chen, Yuanyuan, Xie, Hongling, Luo, Lumeng, Tang, Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372087/
https://www.ncbi.nlm.nih.gov/pubmed/35953516
http://dx.doi.org/10.1038/s41598-022-18084-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372087/
https://www.ncbi.nlm.nih.gov/pubmed/35953516
http://dx.doi.org/10.1038/s41598-022-18084-0

Ejemplares similares