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Preprint 2023

The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging

Sergios Gatidis, Marcel Früh, , Matthias Fabritius, Sijing Gu, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazolli, Mehdi Astaraki, Bernhard Schölkopf, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner

The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging

Abstract

We describe the results of the autoPET challenge, a biomedical image analysis challenge aimed to motivate and focus research in the field of automated whole-body PET/CT image analysis. The challenge task was the automated segmentation of metabolically active tumor lesions on whole-body FDG-PET…
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