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
Assessment of a novel deep learning-based software develope..:
Yoon, Ji Soo
;
Yon, Chang-Jin
;
Lee, Daewoo
...
BMC Musculoskeletal Disorders, Vol.24(1):869. , 2023
Link:
https://hdl.handle.net/10371/196092
RT Journal T1
Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis
UL https://suche.suub.uni-bremen.de/peid=base-ftseoulnuniv:oai:s-space.snu.ac.kr:10371_196092&Exemplar=1&LAN=DE A1 Yoon, Ji Soo A1 Yon, Chang-Jin A1 Lee, Daewoo A1 Lee, Jae Joon A1 Kang, Chang Ho A1 Kang, Seung-Baik A1 Lee, Na-Kyoung A1 Chang, Chong Bum PB BMC YR 2023 K1 Deep learning K1 Artificial intelligence K1 Knee osteoarthritis K1 Joint space narrowing K1 Kellgren & Lawrence classification K1 KL grade JF BMC Musculoskeletal Disorders, Vol.24(1):869 LK http://dx.doi.org/https://hdl.handle.net/10371/196092 DO https://hdl.handle.net/10371/196092 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)