Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology

@article{Irshad2013MultichannelsSA,
  title={Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology},
  author={Humayun Irshad and Ludovic Roux and Daniel Racoceanu},
  journal={2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2013},
  pages={6091-6094}
}
Accurate counting of mitosis in breast cancer histopathology plays a critical role in the grading process. Manual counting of mitosis is tedious and subject to considerable inter- and intra-reader variations. This work aims at improving the accuracy of mitosis detection by selecting the color channels that better capture the statistical and morphological features having mitosis discrimination from other objects. The proposed framework includes comprehensive analysis of first and second order… CONTINUE READING

Citations

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

References

Publications referenced by this paper.
Showing 1-10 of 18 references

http://ipal.cnrs.fr/icpr2012

  • MITOS contest 2012
  • .
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…