文献
J-GLOBAL ID:201902224425040945
整理番号:19A2760561
患者特異的,統計的モデリングを用いた低放射線量小児CTからの肝臓セグメンテーション【JST・京大機械翻訳】
Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling
著者 (5件):
Nakayama Koyo
(Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan)
,
Saito Atsushi
(Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan)
,
Biggs Elijah
(Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, DC, USA)
,
Linguraru Marius George
(Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, DC, USA)
,
Shimizu Akinobu
(Tokyo University of Agriculture and Technology, Koganei, Tokyo, 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:
2057-2068
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)