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Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy

; ; ; ; ; ; ;

In
Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings, Seiten/Artikel-Nr: 136-153

Konferenz/Event:1. MICCAI Challenge , Marrakesh , Morocco , HNTS-MRG 2024 , 2024-10-17 - 2024-10-17

ImpressumCham : Springer Nature Switzerland

Umfang136-153

ISBN978-3-031-83273-4, 978-3-031-83274-1

ReiheLecture Notes in Computer Science ; 15273

Online
DOI: 10.1007/978-3-031-83274-1_10

DOI: 10.18154/RWTH-2026-01713
URL: https://publications.rwth-aachen.de/record/1028559/files/1028559.pdf

Einrichtungen

  1. Klinik und Lehrstuhl für Mund-, Kiefer- und Gesichtschirurgie (938010)
  2. Institut und Lehrstuhl für Medizinische Informatik (526500-2 ; 922710)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105004557853
WOS Core Collection: WOS:001525074700010

Interne Identnummern
RWTH-2026-01713
Datensatz-ID: 1028559

Beteiligte Länder
Austria, Germany, Iran, Portugal

 GO

Creative Commons Attribution CC BY 4.0 ; OpenAccess ; NationallizenzNationallizenz ; SCOPUS
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Document types > Books > Contributions to a book
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Faculty of Medicine (Fac.10)
545000\-2
Public records
526500\-2
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 Record created 2026-02-11, last modified 2026-02-13
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