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
Sickle Cell Classification Using Deep Learning:
, In:
2023 3rd International Conference on Intelligent Technologies (CONIT)
,
Goswami, Neelankit Gautam
;
Goswami, Anushree
;
Sampathila, Niranjana
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/CONIT59222.2023.10205802
RT T1
2023 3rd International Conference on Intelligent Technologies (CONIT)
: T1
Sickle Cell Classification Using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10205802&Exemplar=1&LAN=DE A1 Goswami, Neelankit Gautam A1 Goswami, Anushree A1 Sampathila, Niranjana A1 Bairy, G. Muralidhar YR 2023 K1 Deep learning K1 Training K1 Ethics K1 Transfer learning K1 Cells (biology) K1 Data models K1 Artificial intelligence K1 Artificial Intelligence K1 sickle cell K1 classification K1 deep learning K1 ResNet50 SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CONIT59222.2023.10205802 DO https://doi.org/10.1109/CONIT59222.2023.10205802 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)