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Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.

Isaac ShiriMehdi AminiFereshteh YousefiriziAlireza Vafaei SadrGhasem HajianfarYazdan SalimiZahra MansouriElnaz JenabiMehdi MaghsudiIsmini Charis MaintaMinerva BeckerXinchi HouHabib Zaidi
Published in: Medical physics (2023)
PET/CT information fusion adds significant value to segmentation tasks, considerably outperforming PET-only and CT-only methods. In addition, both conventional image-level and DL fusions achieve competitive results. Meanwhile, output-level voting-based fusion using majority voting of several algorithms results in statistically significant improvements in the segmentation of HNC.
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