文献
J-GLOBAL ID:202202254572895555
整理番号:22A0500225
機械学習分類子と特徴選択アルゴリズムを用いたGd-EOB DTPA造影MRIの肝胆道相中の不十分な肝増強の予測【JST・京大機械翻訳】
Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms
著者 (5件):
Ko Ji Su
(Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea)
,
Byun Jieun
(Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea)
,
Byun Jieun
(Department of Radiology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea)
,
Park Seongkeun
(Machine Intelligence Laboratory, Department of Smart Automobile, Soonchunhyang University, Asan, Chungcheongnamdo, Republic of Korea)
,
Woo Ji Young
(Department of Radiology, Hallym University College of Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea)
資料名:
Abdominal Radiology
(Abdominal Radiology)
巻:
47
号:
1
ページ:
161-173
発行年:
2022年
JST資料番号:
W3979A
ISSN:
2366-0058
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)