most citedBoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 3 cited

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

Wenqiao Zhang, Lei Zhu, James Hallinan +4

In this paper, we propose a novel semi-supervised learning (SSL) framework named BoostMIS that combines adaptive pseudo labeling and informative active annotation to unleash the po…