A Novel Pectoral Removal Approach in Digital Mammogram Segmentation and USRR Feature Selection

@inproceedings{Poongothai2012ANP,
  title={A Novel Pectoral Removal Approach in Digital Mammogram Segmentation and USRR Feature Selection},
  author={R. Poongothai and I. Laurence Aroquiaraj and D. Kalaivani},
  year={2012}
}
Detection of micro calcification based on textural image segmentation and classification is the most effective early-diagnosis of breast cancer. The aim of segmentation is to extract a breast region by estimation of a breast skin-line and a pectoral muscle as well as removing radiographic artifacts and the background of the mammogram. The intensity value is taken using histogram function. After detecting the region intensity value from mammogram, the edge between pectoral region and breast… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 36 references

Dezfooli, “A Method for Improve Preprocessing Images Mammography

  • Sara Dehghani, Mashallah Abbasi
  • International Journal of Information and…
  • 2011
1 Excerpt

Segmentation in Digital Mammography Using Graph Cuts

  • Eumin Choi, Dugki Min
  • ICHIT
  • 2011

Vasantha “ Medical Image Feature , Extraction , Selection And Classification ”

  • M.
  • European Journal of Scientific Research
  • 2011

Similar Papers

Loading similar papers…