综合科研成果

Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy

综合科研成果方向论文:Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning

学位认定 B

分类与摘要

该条目来自 ACSA 论文清单,可继续补充摘要、分类证据与全文解读。

引用

Xue, X.; Ding, Y.; Shi, J.; Hao, X.; Li, X.; Li, D.; Wu, Y.; An, H.; Wei, W.; Jiang, M.; Wang, X., Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy, TECHNOLOGY IN CANCER RESEARCH & TREATMENT 20,2021.12 (CCF B)

@article{acsa2021_63,
  title = {Cone Beam CT (CBCT) Based Synthetic  CT Generation Using Deep Learning  Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy},
  year = {2021},
  doi = {10.1177/15330338211062415}
}
title Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords 学位认定 B
year 2021
published_date 待补充
online_date 待补充
paper_type Journal
publication_status Published
volume 待补充
issue 待补充
pages 待补充
article_number 待补充
publisher 待补充
doi 10.1177/15330338211062415
research_area 综合科研成果
tags 学位认定 B
category 综合科研成果
summary 该条目来自 ACSA 论文清单,可继续补充摘要、分类证据与全文解读。
authors Xue, Ding, Shi, Hao, Li, Li, Wu, An
corresponding_authors N
affiliations 待补充
funding 待补充