Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus Springer Nature eBooks kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation

Title: Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation
Authors: Philps, BenAff12; del C. Valdes Hernandez, MariaAff13; Munoz Maniega, SusanaAff13; Bastin, Mark E.Aff13; Sakka, EleniAff13; Clancy, UnaAff13; Wardlaw, Joanna M.Aff13; Bernabeu, Miguel O.Aff14
Contributors: Goos, Gerhard, Series EditorAff1; Hartmanis, Juris, Founding EditorAff2; Bertino, Elisa, Editorial Board MemberAff3; Gao, Wen, Editorial Board MemberAff4; Steffen, Bernhard, Editorial Board MemberAff5; Yung, Moti, Editorial Board MemberAff6; Yap, Moi Hoon, editorAff7; Kendrick, Connah, editorAff8; Behera, Ardhendu, editorAff9; Cootes, Timothy, editorAff10; Zwiggelaar, Reyer, editorAff11
Source: Medical Image Understanding and Analysis : 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part I. 14859:34-53
Database: Springer Nature eBooks