文献
J-GLOBAL ID:201802261890488474
整理番号:18A1002136
教師付き機械学習を用いた肝細胞癌の動脈内治療に対する治療反応の予測-人工知能概念【JST・京大機械翻訳】
Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept
著者 (11件):
Abajian Aaron
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Murali Nikitha
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Savic Lynn Jeanette
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Savic Lynn Jeanette
(Department of Diagnostic and Interventional Radiology, Universitaetsmedizin Charite Berlin, Berlin, Germany)
,
Laage-Gaupp Fabian Max
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Nezami Nariman
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Duncan James S.
(Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut)
,
Schlachter Todd
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
,
Lin MingDe
(Philips Research North America, Cambridge, Massachusetts)
,
Geschwind Jean-Francois
(Prescience Labs, Westport, Connecticut)
,
Chapiro Julius
(Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520)
資料名:
Journal of Vascular and Interventional Radiology
(Journal of Vascular and Interventional Radiology)
巻:
29
号:
6
ページ:
850-857.e1
発行年:
2018年
JST資料番号:
W3248A
ISSN:
1051-0443
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)