文献
J-GLOBAL ID:202202228811848145
整理番号:22A1025438
深層学習ベース法による3D 18F-FDG PET/CTからの食道扁平上皮癌に対する総腫瘍容積の定義と比較評価【JST・京大機械翻訳】
Gross Tumor Volume Definition and Comparative Assessment for Esophageal Squamous Cell Carcinoma From 3D 18F-FDG PET/CT by Deep Learning-Based Method
著者 (8件):
Yue Yaoting
(1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China)
,
Li Nan
(2Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China)
,
Shahid Husnain
(1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China)
,
Bi Dongsheng
(1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China)
,
Liu Xin
(3Academy for Engineering and Technology, Fudan University, Shanghai, China)
,
Song Shaoli
(2Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China)
,
Ta Dean
(1Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China)
,
Ta Dean
(3Academy for Engineering and Technology, Fudan University, Shanghai, China)
資料名:
Frontiers in Oncology (Web)
(Frontiers in Oncology (Web))
巻:
12
ページ:
799207
発行年:
2022年
JST資料番号:
U7089A
ISSN:
2234-943X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)