文献
J-GLOBAL ID:202202217612511628
整理番号:22A0862352
マルチスキャナ乳癌組織像における有糸分裂検出のためのドメイン適応技術の評価【JST・京大機械翻訳】
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
著者 (4件):
Breen Jack
(CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, Leeds, UK)
,
Zucker Kieran
(Leeds Institute of Medical Research at St James’s, School of Medicine, University of Leeds, Leeds, UK)
,
Orsi Nicolas M.
(Leeds Institute of Medical Research at St James’s, School of Medicine, University of Leeds, Leeds, UK)
,
Ravikumar Nishant
(CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing, University of Leeds, Leeds, UK)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
13166
ページ:
14-22
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)