机构：[1]Shanghai Jiao Tong Univ, Coll Med, Tong Ren Hosp, Dept Radiat Oncol, Shanghai, Peoples R China[2]Carina Med LLC, Lexington, KY USA[3]Hangzhou Fortunelight Fuzhao Technol Co Ltd, Hangzhou, Peoples R China[4]Zhejiang Univ, Hangzhou, Peoples R China
出处：
ISSN：
语种：
外文
WOS：
中科院(CAS)分区：
出版当年[2023]版：
大类|1 区医学
小类|2 区肿瘤学2 区核医学
最新[2023]版：
大类|1 区医学
小类|2 区肿瘤学2 区核医学
JCR分区：
出版当年[2022]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Shanghai Jiao Tong Univ, Coll Med, Tong Ren Hosp, Dept Radiat Oncol, Shanghai, Peoples R China
推荐引用方式(GB/T 7714)：
Hu Q.,Feng X.,Chen Y.,et al.Development and Evaluation of Deep Learning-Based CBCT Enhancement in Automatic OAR Segmentation[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2024,120(2):E138-E138.
APA：
Hu, Q.,Feng, X.,Chen, Y.,Zhu, Y.,Li, J....&Zhang, X..(2024).Development and Evaluation of Deep Learning-Based CBCT Enhancement in Automatic OAR Segmentation.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,120,(2)
MLA：
Hu, Q.,et al."Development and Evaluation of Deep Learning-Based CBCT Enhancement in Automatic OAR Segmentation".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 120..2(2024):E138-E138
医学