文献
J-GLOBAL ID:202202243516746814
整理番号:22A0443356
深部残存ニューラルネットワークによるシャンク超音波画像における腓腹筋とひらめの自動セグメンテーション【JST・京大機械翻訳】
Automated segmentation of the gastrocnemius and soleus in shank ultrasound images through deep residual neural network
著者 (7件):
Du Getao
(Engineering Research Center of Molecular & Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China)
,
Zhan Yonghua
(Engineering Research Center of Molecular & Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China)
,
Zhang Yue
(School of Electronic Engineering, Xidian University, Xi’an, Shaanxi 710071, China)
,
Guo Jianzhong
(Institute of Applied Acoustics, School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710062, China)
,
Chen Xueli
(Engineering Research Center of Molecular & Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China)
,
Liang Jimin
(School of Electronic Engineering, Xidian University, Xi’an, Shaanxi 710071, China)
,
Zhao Heng
(Engineering Research Center of Molecular & Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China)
資料名:
Biomedical Signal Processing and Control
(Biomedical Signal Processing and Control)
巻:
73
ページ:
Null
発行年:
2022年
JST資料番号:
W3347A
ISSN:
1746-8094
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)