most citedEigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

eess.IV2019★ 14 cited

EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation

Bilwaj Gaonkar, Joel Beckett, Mark Attiah +8

Translation of fully automated deep learning based medical image segmentation technologies to clinical workflows face two main algorithmic challenges. The first, is the collection…