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
Improved Automated Detection of Diabetic Retinopathy on a P..:
Abràmoff, Michael David
;
Lou, Yiyue
;
Erginay, Ali
...
Investigative Opthalmology & Visual Science. 57 (2016) 13 - p. 5200 , 2016
Link:
https://doi.org/10.1167/iovs.16-19964
RT Journal T1 <Title>Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1167_iovs.16-19964&Exemplar=1&LAN=DE A1 Abràmoff, Michael David A1 Lou, Yiyue A1 Erginay, Ali A1 Clarida, Warren A1 Amelon, Ryan A1 Folk, James C. A1 Niemeijer, Meindert PB Association for Research in Vision and Ophthalmology (ARVO) YR 2016 SN 1552-5783 JF Investigative Opthalmology & Visual Science VO 57 IS 13 SP 5200 LK http://dx.doi.org/https://doi.org/10.1167/iovs.16-19964 DO https://doi.org/10.1167/iovs.16-19964 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
