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Encrypted federated learning for secure decentralized collaboration in cancer image analysis

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In
Medical image analysis 92, Seiten/Artikel-Nr.:103059

Umfang[1]-12

ISSN1361-8423

Online
DOI: 10.1016/j.media.2023.103059

DOI: 10.18154/RWTH-CONV-252585
URL: http://publications.rwth-aachen.de/record/982502/files/982502.pdf

Einrichtungen

  1. Klinik und Lehrstuhl für Diagnostische und Interventionelle Radiologie (532010-2)
  2. Lehr- und Forschungsgebiet Interventionelle Radiologie (951320)
  3. Lehr- und Forschungsgebiet für Physik der molekularen Bildgebungssysteme (811003-4 ; 924420)


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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85179883047
WOS Core Collection: WOS:001138886700001
PubMed: pmid:38104402

Interne Identnummern
RWTH-CONV-252585
Datensatz-ID: 982502

Beteiligte Länder
Germany, Ireland, UK

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Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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The record appears in these collections:
Document types > Articles > Journal Articles
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Faculty of Medicine (Fac.10)
532010\-2
Public records
811003\-4
Publications database
951320

 Record created 2024-03-15, last modified 2025-07-09


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