Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning.

Frontiers in oncology（2023）

引用 0|浏览42

暂无评分

摘要

DL autosegmentation demonstrated significant time-savings for organ-at-risk contouring while improving agreement with the institutional GS, indicating comparable accuracy of DL model. Integration into the clinical practice with a prospective evaluation is currently underway.

查看译文

关键词

autosegmentation,clinical validation,comprehensive,deep learning,head and neck cancer,organs-at-risk,radiation therapy

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要