I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Weakly-supervised Learning Using Pretraining for Classifica..:
, In:
2021 6th International Conference on Mathematics and Artificial Intelligence
,
Wang, Zhengnan
;
Ma, Yeting
;
Zheng, Yali
.. - p. 66-71 , 2021
Link:
https://dl.acm.org/doi/10.1145/3460569.3460586
RT T1
2021 6th International Conference on Mathematics and Artificial Intelligence
: T1
Weakly-supervised Learning Using Pretraining for Classification in HER2 Immunohistochemistry Image of Breast Cancer
UL https://suche.suub.uni-bremen.de/peid=acm-3460586&Exemplar=1&LAN=DE A1 Wang, Zhengnan A1 Ma, Yeting A1 Zheng, Yali A1 Feng, Peiqin A1 Yu, Fangbo PB ACM YR 2021 K1 Keywords:Pretraining K1 classification in HER2 IHC pathological image of breast cancer K1 transfer learning K1 weakly-supervised learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 66 OP 71 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3460569.3460586 DO https://dl.acm.org/doi/10.1145/3460569.3460586 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)