Earticle

초록

영어

In this paper, we propose a method to identify abnormal growth of cells in breast tissue and suggest further pathological test, if necessary. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal / lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue (invasive) are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some greater extent.

목차

Abstract
 1. Introduction
 2. Previous works
 3. Our work
  3.1. 24-bit Color Image to 256-color Gray Image
  3.2. 256-color Gray Image to Bi-color (using Pixel Clustering on Threshold Value, T)
  3.3. Cell Representation Algorithm on Spatial Domain
 4. Analysis and Result
 5. Conclusion
 References

키워드

저자

• Poulami Das [ Computer Science and Engineering Department, Heritage institute of Technology, Kolkata-700107, India ]
• Debnath Bhattacharyya [ Computer Science and Engineering Department, Heritage institute of Technology, Kolkata-700107, India, ]
• Samir K. Bandyopadhyay [ Department of Computer Science and Engineering, University of Calcutta, Kolkata-700009, India ]
• Tai-hoon Kim [ Hannam University, Daejeon – 306791, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605