Deep-learning-driven dose prediction and verification for stereotactic radiosurgical treatment of isolated brain metastases

Deep-learning-driven dose prediction and verification for stereotactic radiosurgical treatment of isolated brain metastases

PurposeWhile deep learning has shown promise for automated radiotherapy planning, its application to the specific scenario of stereotactic radiosurgery (SRS) for brain metastases using fixed-field intensity modulated radiation therapy (IMRT) on a linear accelerator remains limited. This work aimed t...

Full description

Bibliographic Details
Main Authors: Jinghui Pan, Jinsheng Xiao, Changli Ruan, Qibin Song, Lei Shi, Fengjiao Zhuo, Hao Jiang, Xiangpan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
brain metastases
stereotactic radiosurgery
dose prediction
deep learning
radiation oncology
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1285555/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1285555/full

Similar Items