文献
J-GLOBAL ID:201802247452857455
整理番号:18A1135986
ビッグデータと深層学習を用いた乳癌の放射線療法のための臨床標的容積の完全自動およびロバストセグメンテーション【JST・京大機械翻訳】
Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning
著者 (8件):
Men Kuo
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Zhang Tao
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Chen Xinyuan
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Chen Bo
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Tang Yu
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Wang Shulian
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Li Yexiong
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
,
Dai Jianrong
(National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China)
資料名:
Physica Medica
(Physica Medica)
巻:
50
ページ:
13-19
発行年:
2018年
JST資料番号:
W3316A
ISSN:
1120-1797
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)