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

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3 Author(s)
N. Youssry ; Dept. of Electron. & Commun. Eng., Mansoura Univ., Egypt ; F. E. Z. Abou-Chadi ; A. M. El-Sayad

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.

Published in:

Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on

Date of Conference:

24-26 April 2003