most citedWhole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

eess.IV2022★ 4 cited

Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks

Ludovic Sibille, Xinrui Zhan, Lei Xiang

Background: A crucial initial processing step for quantitative PET/CT analysis is the segmentation of tumor lesions enabling accurate feature ex-traction, tumor characterization, o…