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  • Automated Lesion Segmentation in Whole-Body FDG-PET/CT Challenge (autoPET 2022)

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AutoPET is hosted at the MICCAI 2022: 
and supported by the European Society for hybrid, molecular and translational imaging (ESHI)Image Removed

Figure: Example case of fused FDG-PET/CT whole-body data. The right image shows the manually segmented malignant lesions.

📋 Task

Automatic tumor lesion segmentation in whole-body FDG-PET/CT on large-scale database of 1014 studies of 900 patients (training database) acquired on a single site:

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Testing will be performed on 200 studies (held-out test database) with 100 studies originating from the same hospital as the training database and 100 are drawn from a different hospital with similar acquisition protocol to assess algorithm robustness and generalizability.


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Figure: Example case of fused FDG-PET/CT whole-body data. The right image shows the manually segmented malignant lesions.