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
Development and Validation of a Deep Learning–Based Histolo..:
Wu, Zhifeng
;
Yao, Liwen
;
Liu, Wen
...
American Journal of Clinical Pathology. , 2023
Link:
https://doi.org/10.1093/ajcp/aqad058
RT Journal T1
Development and Validation of a Deep Learning–Based Histologic Diagnosis System for Diagnosing Colorectal Sessile Serrated Lesions
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_ajcp_aqad058&Exemplar=1&LAN=DE A1 Wu, Zhifeng A1 Yao, Liwen A1 Liu, Wen A1 Zhang, Shiying A1 Zhang, Lihui A1 Lu, Zihua A1 Wang, Jing A1 Chen, Boru A1 Luo, Renquan A1 Li, Xun A1 Gong, Rongrong A1 Luo, Chaijie A1 Xu, Youming A1 Zeng, Zhi A1 Yu, Honggang PB Oxford University Press (OUP) YR 2023 SN 0002-9173 SN 1943-7722 JF American Journal of Clinical Pathology LK http://dx.doi.org/https://doi.org/10.1093/ajcp/aqad058 DO https://doi.org/10.1093/ajcp/aqad058 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)