Consensus of Ambiguity: Theory of Active Learning for Biomedical Image Analysis Applications

Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous” samples, ensuring that each labe