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
FRM: A novel Faster-RCNN Mutant network for breast lesions ..:
, In:
2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT)
,
Pu, Lixin
;
Wang, Shuang
;
Zhang, Jun
... - p. 259-266 , 2022
Link:
https://doi.org/10.1109/FCSIT57414.2022.00038
RT T1 <cTitle>2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT)</cTitle>: T1 <Title>FRM: A novel Faster-RCNN Mutant network for breast lesions screening</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10098230&Exemplar=1&LAN=DE A1 Pu, Lixin A1 Wang, Shuang A1 Zhang, Jun A1 Jin, Shuyan A1 Fan, Jipeng A1 He, Mingjie YR 2022 K1 Training K1 Pathology K1 Sensitivity K1 Medical services K1 Feature extraction K1 Delta-sigma modulation K1 Breast cancer K1 medical image processing K1 mammographic image K1 convolutional neural network K1 Target detection K1 Faster-RCNN-Mutant SP 259 OP 266 LK http://dx.doi.org/https://doi.org/10.1109/FCSIT57414.2022.00038 DO https://doi.org/10.1109/FCSIT57414.2022.00038 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
