Learning Disease State from Noisy Ordinal Disease Progression Labels

Gustav Schmidt, Holger Heidrich, Philipp Berens +1

Learning from noisy ordinal labels is a key challenge in medical imaging. In this work, we ask whether ordinal disease progression labels (better, worse, or stable) can be used to…