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
Development of Deep-learning Segmentation for Breast Cancer..:
, In:
Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition
,
Wang, Yuchen
;
Jin, Ze
;
Tokuda, Yukiko
... - p. 187-191 , 2019
Link:
https://dl.acm.org/doi/10.1145/3373509.3373566
RT T1
Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition
: T1
Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution
UL https://suche.suub.uni-bremen.de/peid=acm-3373566&Exemplar=1&LAN=DE A1 Wang, Yuchen A1 Jin, Ze A1 Tokuda, Yukiko A1 Naoi, Yasuto A1 Tomiyama, Noriyuki A1 Suzuki, Kenji PB ACM YR 2019 K1 Deep learning K1 breast cancer K1 neural network convolution K1 patched-based neural network K1 semantic segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Health care information systems SP 187 OP 191 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3373509.3373566 DO https://dl.acm.org/doi/10.1145/3373509.3373566 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)