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.

FetGEs: A Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation

Title: FetGEs: A Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation
Authors: Ciceri, TommasoAff13, Aff14, Aff15; Stuempflen, MarleneAff16; Tischer, JohannesAff13, Aff17, Aff18; Kasprian, GregorAff16, Aff17; Peruzzo, DenisAff14; Licandro, RoxaneAff13, Aff17, Aff18
Contributors: Hartmanis, Juris, Founding EditorAff1; Goos, Gerhard, Founding EditorAff2; Bertino, Elisa, Series EditorAff3; Gao, Wen, Series EditorAff4; Steffen, Bernhard, Series EditorAff5; Yung, Moti, Series EditorAff6; Link-Sourani, Daphna, editorAff7; Abaci Turk, Esra, editorAff8; Bastiaansen, Wietske, editorAff9; Hutter, Jana, editorAff10; Melbourne, Andrew, editorAff11; Licandro, Roxane, editorAff12
Source: Perinatal, Preterm and Paediatric Image Analysis : 10th International Workshop, PIPPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. 16118:93-104
Database: Springer Nature eBooks