Strategies to improve deep learning-based salivary gland segmentation

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1748-717X
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Strategies to improve deep learning-based salivary gland segmentation ; volume:15 ; number:1 ; day:1 ; month:12 ; year:2020 ; pages:1-9 ; date:12.2020
Radiation oncology ; 15, Heft 1 (1.12.2020), 1-9, 12.2020

Creator
Rooij, Ward van
Dahele, Max
Nijhuis, Hanne
Slotman, Berend J.
Verbakel, Wilko F.
Contributor
SpringerLink (Online service)

DOI
10.1186/s13014-020-01721-1
URN
urn:nbn:de:101:1-2021011020040617084861
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:24 AM CEST

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Associated

  • Rooij, Ward van
  • Dahele, Max
  • Nijhuis, Hanne
  • Slotman, Berend J.
  • Verbakel, Wilko F.
  • SpringerLink (Online service)

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