Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging

Gatidis, Sergios; Frueh, Marcel; Fabritius, Matthias P.; Gu, Sijing; Nikolaou, Konstantin; La Fougere, Christian; Ye, Jin; He, Junjun; Peng, Yige; Bi, Lei; Ma, Jun; Wang, Bo; Zhang, Jia; Huang, Yukun; Heiliger, Lars; Marinov, Zdravko; Stiefelhagen, Rainer; Egger, Jan; Kleesiek, Jens; Sibille, Ludovic; Xiang, Lei; Bendazzoli, Simone; Astaraki, Mehdi; Ingrisch, Michael; Cyran, Clemens C.; Kuestner, Thomas

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging

Autor(en):

Gatidis, Sergios; Frueh, Marcel; Fabritius, Matthias P.; Gu, Sijing; Nikolaou, Konstantin; La Fougere, Christian; Ye, Jin; He, Junjun; Peng, Yige; Bi, Lei; Ma, Jun; Wang, Bo; Zhang, Jia; Huang, Yukun; Heiliger, Lars; Marinov, Zdravko; Stiefelhagen, Rainer; Egger, Jan; Kleesiek, Jens; Sibille, Ludovic; Xiang, Lei; Bendazzoli, Simone; Astaraki, Mehdi; Ingrisch, Michael; Cyran, Clemens C.; Kuestner, Thomas

Tübinger Autor(en):

Gatidis, Sergios
Nikolaou, Konstantin
Früh, Marcel
La Fougère, Christian Jean
Küstner, Thomas

Erschienen in:

Nature Machine Intelligence (2024), Bd. 6, H. 11, S. 1396–1405

Verlagsangabe:

Berlin : Nature Portfolio

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1038/s42256-024-00912-9

ISSN:

2522-5839