Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model

N. Youssry, F. E.Z. Abou-Chadi, A. M. El-Sayad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

A neuro-fuzzy model for fast detection of candidate circumscribed masses in digitized mammograms is presented. The breast tissue is scanned using variable window size, for each sub-image co-occurrence matrices in different orientations (θ=0°, 45°, 90° and 135°) are calculated and texture features are estimated for each co-occurrence matrix, then the features are used to train neuro-fuzzy models. The classification results reach 100% for abnormal cases and 80% for normal ones.

Original languageEnglish
Title of host publicationConference Proceedings - 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003
Subtitle of host publicationNew Solutions for New Challenges, ITAB 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-229
Number of pages4
ISBN (Electronic)0780376676
DOIs
StatePublished - 2003
Externally publishedYes
Event4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003, ITAB 2003 - Birmingham, United Kingdom
Duration: 24 Apr 200326 Apr 2003

Publication series

NameProceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB
Volume2003-January

Conference

Conference4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003, ITAB 2003
Country/TerritoryUnited Kingdom
CityBirmingham
Period24/04/0326/04/03

Keywords

  • Mammography
  • Mass Detection
  • Neuro-Fuzzy
  • Texture Analysis

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