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…

Rainer Stiefelhagen
Rainer Stiefelhagen
Director Computer Vision for Human-Computer Interaction Lab
Jan Egger
Jan Egger
Team Lead AI-guided Therapies
Jens Kleesiek
Jens Kleesiek
Professor of Translational Image-guided Oncology