Classification of mammograms by breast density

Downloads

Published

30-09-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.38

Keywords:

breast density, attribute etraction, clustering

Dimensions Badge

Issue

Vol. 14 No. 03 (2023): The Scientific Temper

Section

Research article

License

Copyright (c) 2023 The Scientific Temper

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors

  • N Sasirekha Sona College of Technology, Salem
  • Jayakumar Karuppaiah Kalaignarkarunanidhi Institute of Technology, Coimbatore.
  • Yuvaraja Thangavel Kongunadu College of Engineering and Technology
  • KG Parthiban Dhaanish Ahmed Institute of Technology, Coimbatore

Abstract

The risk of getting breast cancer is directly affected by the type of breast tissue predominant in the individual. The aim is to investigate
histogram-based image attributes in order to separate mammographic images by degree of breast density using the clustering technique. 75 mammographic images from the MIAS database were used, 25 of them belonging to each of the three classes: fatty, fatty-glandular and dense. After the selection of attributes, it obtained a 96% success rate in classifying the mammograms within the three classes when the attribute’s mean gray levels and the highest peak intensity of the histogram were used simultaneously in the clustering technique

How to Cite

Sasirekha, N., Karuppaiah, J., Thangavel, Y., & KG , P. (2023). Classification of mammograms by breast density. The Scientific Temper, 14(03), 811–815. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.38

Downloads

Download data is not yet available.

Author Biographies

Jayakumar Karuppaiah, Kalaignarkarunanidhi Institute of Technology, Coimbatore.

Department of Biomedical Engineering, KIT- Kalaignarkarunanidhi  Institute of Technology, Coimbatore. drrkjkitbme@gmail.com

Yuvaraja Thangavel, Kongunadu College of Engineering and Technology

Department of Electronics and Communication Engineering, Kongunadu College of Engineering and Technology,Trichy

KG Parthiban , Dhaanish Ahmed Institute of Technology, Coimbatore

Department of Electronics and Communication Engineering, Dhaanish Ahmed Institute of Technology, Coimbatore-641105.