Discriminative Segmentation of Microscopic Cellular Images

@article{Cheng2011DiscriminativeSO,
  title={Discriminative Segmentation of Microscopic Cellular Images},
  author={Li Cheng and Ning Ye and Weimiao Yu and Andre Cheah},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2011},
  volume={14 Pt 1},
  pages={
          637-44
        }
}
Microscopic cellular images segmentation has become an important routine procedure in modern biological research, due to the rapid advancement of fluorescence probes and robotic microscopes in recent years. In this paper we advocate a discriminative learning approach for cellular image segmentation. In particular, three new features are proposed to capture the appearance, shape and context information, respectively. Experiments are conducted on three different cellular image datasets. Despite… CONTINUE READING

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Key Quantitative Results

  • Meanwhile our approach on serous dataset achieves a better result of 98.12% under this evaluation criteria (85.11% under our evaluation criteria).

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References

Publications referenced by this paper.
SHOWING 1-10 OF 13 REFERENCES

Evolving generalized Voronoi diagrams for accurate cellular image segmentation.

  • Cytometry. Part A : the journal of the International Society for Analytical Cytology
  • 2010
VIEW 3 EXCERPTS

TurboPixels: Fast Superpixels Using Geometric Flows

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2009
VIEW 3 EXCERPTS