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AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. (arXiv:2209.01112v1 [eess.IV])
Sept. 5, 2022, 1:14 a.m. | Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek
cs.CV updates on arXiv.org arxiv.org
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 …
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