文献
J-GLOBAL ID:201702224698761217
整理番号:17A0379811
心筋梗塞検出と分類 新しいマルチスケール深特徴学習アプローチ【Powered by NICT】
Myocardial infarction detection and classification - A new multi-scale deep feature learning approach
著者 (6件):
Wu J. F.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
,
Bao Y. L.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
,
Chan S. C.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
,
Wu H. C.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
,
Zhang L.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
,
Wei X. G.
(Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, P. R. China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
DSP
ページ:
309-313
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)