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

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

Abstract 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 com...

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Bibliographic Details
Main Authors:	Jiahao Wang, Yuanyuan Chen, Hongling Xie, Lumeng Luo, Qiu Tang
Format:	Article
Language:	English
Published:	Nature Portfolio 2022-08-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-022-18084-0

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