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

XueDingShiHaoLiLiWuAn

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

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分类与摘要Category & abstract

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。

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完整论文信息Full record

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

Research area

综合科研成果

Citation

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)

BibTeX

@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}
}