文献
J-GLOBAL ID:202202216331999672
整理番号:22A0650954
先天性大動脈狭窄の診断における人工知能セグメンテーションモデルベースコンピュータ断層撮影血管造影画像【JST・京大機械翻訳】
Artificial Intelligence Segmentation Model-Based Computed Tomography Angiography Image in the Diagnosis of Congenital Aortic Constriction
著者 (5件):
Zheng Tao
(Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China)
,
Shao Guofeng
(Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China)
,
Zhou Qingyun
(Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China)
,
Wang Qinning
(Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China)
,
Ye Mengmeng
(Department of Cardiothoracic and Vascular Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo 315000, Zhejiang, China)
資料名:
Scientific Programming
(Scientific Programming)
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
W0689A
ISSN:
1058-9244
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)