在非小细胞肺癌的立体辐射疗法中,使用诊断性PET-CT和计划性CT进行自动瘤划分的深度学习方法

Xuyao Yu1,2, Lian He3, Yuwen Wang4

  • 1Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Frontiers in oncology
|August 21, 2023
PubMed
概括

这项研究开发了一种深度学习模型,用于精确的非小细胞肺癌 (NSCLC) 瘤细分,使用PET-CT和计划CT (pCT) 扫描. 双模式方法显著提高了比单模式方法的准确性.