文献
J-GLOBAL ID:201802214065497577
整理番号:18A2098890
深部畳込みニューラルネットワークとランダムフォレストの組合せに基づく白内障検出とグレーディング【JST・京大機械翻訳】
Cataract Detection and Grading Based on Combination of Deep Convolutional Neural Network and Random Forests
著者 (5件):
Ran Jing
(Ministry of Education, Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communations, Beijing, 100876, China)
,
Niu Kai
(Ministry of Education, Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communations, Beijing, 100876, China)
,
He Zhiqiang
(Ministry of Education, Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communations, Beijing, 100876, China)
,
Zhang Hongyan
(Beijing Tongren Hospital, Capital Medical University, Beijing Tongren Eye Center, Beijing, 100730, China)
,
Song Hongxin
(Beijing Tongren Hospital, Capital Medical University, Beijing Tongren Eye Center, Beijing, 100730, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
IC-NIDC
ページ:
155-159
発行年:
2018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)