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
Machine Learning Approaches with Textural Features to Calcu..:
Mario Sansone
;
Roberta Fusco
;
Francesca Grassi
...
https://www.mdpi.com/1718-7729/30/1/64. , 2023
Link:
https://doi.org/10.3390/curroncol30010064
RT Journal T1
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:6756dadbdfda4f1e8d350f78abc800bb&Exemplar=1&LAN=DE A1 Mario Sansone A1 Roberta Fusco A1 Francesca Grassi A1 Gianluca Gatta A1 Maria Paola Belfiore A1 Francesca Angelone A1 Carlo Ricciardi A1 Alfonso Maria Ponsiglione A1 Francesco Amato A1 Roberta Galdiero A1 Roberta Grassi A1 Vincenza Granata A1 Roberto Grassi PB MDPI AG YR 2023 K1 breast cancer K1 mammography K1 breast density K1 machine learning K1 radiomics K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/1718-7729/30/1/64 LK http://dx.doi.org/https://doi.org/10.3390/curroncol30010064 DO https://doi.org/10.3390/curroncol30010064 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)