文献
J-GLOBAL ID:202202218925243085
整理番号:22A0862360
MIDOGチャレンジのための融合検出器と深層アンサンブル分類モデルを用いたドメインシフトに対する有糸分裂の検出【JST・京大機械翻訳】
Detecting Mitosis Against Domain Shift Using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge
著者 (8件):
Liang Jingtang
(School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China)
,
Wang Cheng
(School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China)
,
Cheng Yujie
(College of Electrical Engineering, Ocean University of China, Qingdao, Shandong, China)
,
Wang Zheng
(College of Electrical Engineering, Ocean University of China, Qingdao, Shandong, China)
,
Wang Fang
(College of Electrical Engineering, Ocean University of China, Qingdao, Shandong, China)
,
Huang Liyu
(School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China)
,
Yu Zhibin
(College of Electrical Engineering, Ocean University of China, Qingdao, Shandong, China)
,
Wang Yubo
(School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
13166
ページ:
68-72
発行年:
2022年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)