文献
J-GLOBAL ID:201902217567988092
整理番号:19A2760563
部分最小二乗回帰に基づく統計的形状モデルを用いた肝臓形状解析:肝線維症の理解と病期分類への応用【JST・京大機械翻訳】
Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
著者 (9件):
Soufi Mazen
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan)
,
Otake Yoshito
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan)
,
Hori Masatoshi
(Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan)
,
Moriguchi Kazuya
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan)
,
Imai Yasuharu
(Department of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Osaka, Japan)
,
Sawai Yoshiyuki
(Department of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Osaka, Japan)
,
Ota Takashi
(Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan)
,
Tomiyama Noriyuki
(Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan)
,
Sato Yoshinobu
(Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan)
資料名:
International Journal of Computer Assisted Radiology and Surgery
(International Journal of Computer Assisted Radiology and Surgery)
巻:
14
号:
12
ページ:
2083-2093
発行年:
2019年
JST資料番号:
W4459A
ISSN:
1861-6410
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)