AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. (arXiv:2209.01112v2 [eess.IV] UPDATED)

Tumor volume and changes in tumor characteristics over time are important
biomarkers for cancer therapy. In this context, FDG-PET/CT scans are routinely
used for staging and re-staging of cancer, as the radiolabeled
fluorodeoxyglucose is taken up in regions of high metabolism. Unfortunately,
these regions with high metabolism are not specific to tumors and can also
represent physiological uptake by normal functioning organs, inflammation, or
infection, making detailed and reliable tumor segmentation in these scans a
demanding task. This gap in …

arxiv challenge classifier projection swin unet