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Independent Validation of a Deep Learning nnU-Net Tool for ..:
Veiga-Canuto, Diana
;
Cerdà-Alberich, Leonor
;
Jiménez-Pastor, Ana
...
Cancers. 15 (2023) 5 - p. 1622 , 2023
Link:
https://doi.org/10.3390/cancers15051622
RT Journal T1
Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_cancers15051622&Exemplar=1&LAN=DE A1 Veiga-Canuto, Diana A1 Cerdà-Alberich, Leonor A1 Jiménez-Pastor, Ana A1 Carot Sierra, José Miguel A1 Gomis-Maya, Armando A1 Sangüesa-Nebot, Cinta A1 Fernández-Patón, Matías A1 Martínez de las Heras, Blanca A1 Taschner-Mandl, Sabine A1 Düster, Vanessa A1 Pötschger, Ulrike A1 Simon, Thorsten A1 Neri, Emanuele A1 Alberich-Bayarri, Ángel A1 Cañete, Adela A1 Hero, Barbara A1 Ladenstein, Ruth A1 Martí-Bonmatí, Luis PB MDPI AG YR 2023 SN 2072-6694 JF Cancers VO 15 IS 5 SP 1622 LK http://dx.doi.org/https://doi.org/10.3390/cancers15051622 DO https://doi.org/10.3390/cancers15051622 SF ELIB - SuUB Bremen
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