文献
J-GLOBAL ID:201902248644183325
整理番号:19A2492474
深部学習を用いた慢性全閉塞病変の検出と分類【JST・京大機械翻訳】
Detection and Classification of Chronic Total Occlusion lesions using Deep Learning
著者 (4件):
Liu Xuqing
(Faculty of Information and communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Du Tianming
(Faculty of Information and communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Zhang Honggang
(Faculty of Information and communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Sun Chunlei
(Faculty of Information and communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
EMBC
ページ:
828-831
発行年:
2019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)