English

Breast Cancer Detection Using Multilevel Thresholding

Computer Vision and Pattern Recognition 2009-11-04 v1

Abstract

This paper presents an algorithm which aims to assist the radiologist in identifying breast cancer at its earlier stages. It combines several image processing techniques like image negative, thresholding and segmentation techniques for detection of tumor in mammograms. The algorithm is verified by using mammograms from Mammographic Image Analysis Society. The results obtained by applying these techniques are described.

Keywords

Cite

@article{arxiv.0911.0490,
  title  = {Breast Cancer Detection Using Multilevel Thresholding},
  author = {Y. Ireaneus Anna Rejani and S. Thamarai Selvi},
  journal= {arXiv preprint arXiv:0911.0490},
  year   = {2009}
}

Comments

5 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/

R2 v1 2026-06-21T14:06:44.283Z