文献
J-GLOBAL ID:202202242205874613
整理番号:22A0950659
無症候性,早期OA,および高度OAグループへの大腿骨軟骨分類のためのMR画像の定量的分析に基づく半自動フレームワーク【JST・京大機械翻訳】
A semi-automatic framework based upon quantitative analysis of MR-images for classification of femur cartilage into asymptomatic, early OA, and advanced-OA groups
著者 (9件):
Thaha Rafeek
(Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India)
,
Jogi Sandeep P.
(Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India)
,
Jogi Sandeep P.
(Department of Biomedical Engineering, ASET, Amity University, Gurgaon, Haryana, India)
,
Rajan Sriram
(Mahajan Imaging Centre, New Delhi, India)
,
Mahajan Vidur
(Mahajan Imaging Centre, New Delhi, India)
,
Mehndiratta Amit
(Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India)
,
Mehndiratta Amit
(Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India)
,
Singh Anup
(Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India)
,
Singh Anup
(Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India)
資料名:
Journal of Orthopaedic Research
(Journal of Orthopaedic Research)
巻:
40
号:
4
ページ:
779-790
発行年:
2022年
JST資料番号:
W2653A
ISSN:
0736-0266
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)