most citedSlice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images

28 citations · 28 across the 1 of their papers we have counts for

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1 paper

eess.IV2022★ 28 cited

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images

Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk +2

Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate segmentation of the primary tumor (GTVp) of oropharyngeal cancer patients (OPC),…