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
Neural network-based model for evaluating inert nodules and..:
Bing Wang
;
Hui Zhang
;
Wei Li
...
https://www.frontiersin.org/articles/10.3389/fonc.2023.1037052/full. , 2023
Link:
https://doi.org/10.3389/fonc.2023.1037052
RT Journal T1
Neural network-based model for evaluating inert nodules and volume doubling time in T1 lung adenocarcinoma: a nested case−control study
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:888877036900411f8220fbb520a3b868&Exemplar=1&LAN=DE A1 Bing Wang A1 Hui Zhang A1 Wei Li A1 Siyun Fu A1 Ye Li A1 Xiang Gao A1 Dongpo Wang A1 Xinjie Yang A1 Shaofa Xu A1 Jinghui Wang A1 Dailun Hou PB Frontiers Media S.A. YR 2023 K1 neural network K1 inert nodules K1 volume doubling time K1 T1 lung adenocarcinoma K1 computer tomograph K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.frontiersin.org/articles/10.3389/fonc.2023.1037052/full LK http://dx.doi.org/https://doi.org/10.3389/fonc.2023.1037052 DO https://doi.org/10.3389/fonc.2023.1037052 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)