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
Exploration of machine learning models for surgical incisio..:
Li, Fanfan
;
Zhang, Hongyu
;
Xu, Shangqing
...
International Wound Journal. 21 (2024) 2 - p. , 2024
Link:
https://doi.org/10.1111/iwj.14677
RT Journal T1
Exploration of machine learning models for surgical incision healing assessment based on thermal imaging: A feasibility study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1111_iwj.14677&Exemplar=1&LAN=DE A1 Li, Fanfan A1 Zhang, Hongyu A1 Xu, Shangqing A1 Ma, Xiaoli A1 Luo, Na A1 Yu, Youzhen A1 He, Wenhui A1 Jin, Hongying A1 Wang, Min A1 Wang, Ting A1 Wang, Xiaolan A1 Zhang, Yimei A1 Ma, Guojing A1 Zhao, Dan A1 Yue, Qin A1 Wang, Panpan A1 Ma, Minjie PB Wiley YR 2024 SN 1742-4801 SN 1742-481X JF International Wound Journal VO 21 IS 2 LK http://dx.doi.org/https://doi.org/10.1111/iwj.14677 DO https://doi.org/10.1111/iwj.14677 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)