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
Deep Learning Model for Predicting the Pathological Complet..:
Lou, Xiaoying
;
Zhou, Niyun
;
Feng, Lili
...
Frontiers in Oncology. 12 (2022) - p. , 2022
Link:
https://doi.org/10.3389/fonc.2022.807264
RT Journal T1
Deep Learning Model for Predicting the Pathological Complete Response to Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2022.807264&Exemplar=1&LAN=DE A1 Lou, Xiaoying A1 Zhou, Niyun A1 Feng, Lili A1 Li, Zhenhui A1 Fang, Yuqi A1 Fan, Xinjuan A1 Ling, Yihong A1 Liu, Hailing A1 Zou, Xuan A1 Wang, Jing A1 Huang, Junzhou A1 Yun, Jingping A1 Yao, Jianhua A1 Huang, Yan PB Frontiers Media SA YR 2022 SN 2234-943X JF Frontiers in Oncology VO 12 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.807264 DO https://doi.org/10.3389/fonc.2022.807264 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)