文献
J-GLOBAL ID:201802270240967318
整理番号:18A1189800
局所テクスチャ分類と統計的形状モデリングを用いたCT画像における前立腺の半自動セグメンテーション法【JST・京大機械翻訳】
A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling
著者 (9件):
Shahedi Maysam
(Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA)
,
Halicek Martin
(Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Guo Rongrong
(Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA)
,
Zhang Guoyi
(Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA)
,
Schuster David M.
(Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA)
,
Fei Baowei
(Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA)
,
Fei Baowei
(Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Fei Baowei
(Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA)
,
Fei Baowei
(Department of Mathematics and Computer Science, Emory University, Atlanta, GA, 30322, USA)
資料名:
Medical Physics
(Medical Physics)
巻:
45
号:
6
ページ:
2527-2541
発行年:
2018年
JST資料番号:
A1258A
ISSN:
0094-2405
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)