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
Degree of Accuracy With Which Deep Learning for Ultrasound ..:
Shinohara, Issei
;
Yoshikawa, Tomoya
;
Inui, Atsuyuki
...
The American Journal of Sports Medicine. 51 (2023) 2 - p. 358-366 , 2023
Link:
https://doi.org/10.1177/03635465221142280
RT Journal T1
Degree of Accuracy With Which Deep Learning for Ultrasound Images Identifies Osteochondritis Dissecans of the Humeral Capitellum
UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_03635465221142280&Exemplar=1&LAN=DE A1 Shinohara, Issei A1 Yoshikawa, Tomoya A1 Inui, Atsuyuki A1 Mifune, Yutaka A1 Nishimoto, Hanako A1 Mukohara, Shintaro A1 Kato, Tatsuo A1 Furukawa, Takahiro A1 Tanaka, Shuya A1 Kusunose, Masaya A1 Hoshino, Yuichi A1 Matsushita, Takehiko A1 Kuroda, Ryosuke PB SAGE Publications YR 2023 SN 0363-5465 SN 1552-3365 JF The American Journal of Sports Medicine VO 51 IS 2 SP 358 OP 366 LK http://dx.doi.org/https://doi.org/10.1177/03635465221142280 DO https://doi.org/10.1177/03635465221142280 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)