Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels

@article{Wang2008ActiveMC,
  title={Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels},
  author={Jun Wang and Shih-Fu Chang and Xiaobo Zhou and Stephen T. C. Wong},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells and images in genome-wide studies is cost prohibitive. In this paper, we propose a highly efficient active annotation framework, in which a small amount of expert input is leveraged to rapidly and effectively infer the labels over the remaining unlabeled data. We formulate this as a graph based transductive learning… CONTINUE READING