Premature Breast Cancer Mammographic Detection Using Image Segmentation Approaches

Abstract

In the current era digital image processing occupies a dynamic role in every aspect of human survival. Image processing refers to progress digital images and mined attributes from images. In this paper we describe the experimental testing ofMammographic approach based on research towards early breast cancer detection. The main objective is to detect breast cancer using computer aided automated detection scheme. We extracted variables from previous papers and refined the important variables for experiment then apply different samples of images to acquired using Mammographyimages.

Authors and Affiliations

Bilal Rasheed| Department of Computer Science University of management and technology Lahore, Pakistan bilal.rasheed41@yahoo.com, DR Omer Suleman| Department of Computer Science University of management and technology Lahore, Pakistan, umar.suleman@umt.edu.pk

Keywords

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  • EP ID EP16913
  • DOI -
  • Views 289
  • Downloads 6

How To Cite

Bilal Rasheed, DR Omer Suleman (2017). Premature Breast Cancer Mammographic Detection Using Image Segmentation Approaches. International Journal of Science Engineering and Advance Technology, 5(4), 391-399. https://europub.co.uk/articles/-A-16913