文献
J-GLOBAL ID:202102265068623524
整理番号:21A0667069
病的画像分類のためのハードな例を用いた雑音ロバスト学習【JST・京大機械翻訳】
Noise Robust Learning with Hard Example Aware for Pathological Image classification
著者 (6件):
Peng Ting
(Beijing University of Posts and Telecommunications, School of Information and Communication Engineering)
,
Zhu Chuang
(Beijing University of Posts and Telecommunications, School of Information and Communication Engineering)
,
Luo Yihao
(Beijing University of Posts and Telecommunications, School of Information and Communication Engineering)
,
Liu Jun
(Beijing University of Posts and Telecommunications, School of Information and Communication Engineering)
,
Wang Ying
(Beijing Chao-yang Hospital,Department of Pathology)
,
Jin Mulan
(Beijing Chao-yang Hospital,Department of Pathology)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICCC
ページ:
1903-1907
発行年:
2020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)