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autoPETIII challenge (becquerel's version)

CHB's solution for the autoPETIII challenge

If you use the data associated to this challenge, please cite:

Gatidis S, Kuestner T. A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions) 
[Dataset]. The Cancer Imaging Archive, 2022. DOI: 10.7937/gkr0-xv29

and
COMING SOON

COMING SOON

nnunet-baseline

Built from the baseline nnUNet inference algorithm, we added our own models and strategy for PET segmentation.

evaluation-metrics

Evaluation code for the autoPETIII challenge according to here

References

Challenge: DOI
FDG Database:
PSMA Database: COMMING SOON

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