Batch mode active learning and its application to medical image classification

  title={Batch mode active learning and its application to medical image classification},
  author={Steven C. H. Hoi and Rong Jin and Jianke Zhu and Michael R. Lyu},
The goal of active learning is to select the most informative examples for manual labeling. Most of the previous studies in active learning have focused on selecting a single unlabeled example in each iteration. This could be inefficient since the classification model has to be retrained for every labeled example. In this paper, we present a framework for "batch mode active learning" that applies the Fisher information matrix to select a number of informative examples simultaneously. The key… CONTINUE READING
Highly Influential
This paper has highly influenced 23 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 356 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 204 extracted citations

356 Citations

Citations per Year
Semantic Scholar estimates that this publication has 356 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…