most citedCross-modal tumor segmentation using generative blending augmentation and self training

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

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1 paper

eess.IV2023★ 1 cited

Cross-modal tumor segmentation using generative blending augmentation and self training

Guillaume Sallé, Pierre-Henri Conze, Julien Bert +3

\textit{Objectives}: Data scarcity and domain shifts lead to biased training sets that do not accurately represent deployment conditions. A related practical problem is cross-modal…