Title :
Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model
Author :
Youssry, Noha ; Abou-Chadi, Fatma E Z ; El-Sayad, Alaa M.
Author_Institution :
Dept. of Electron. & Commun. Eng., Mansoura Univ., Egypt
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.
Keywords :
diagnostic radiography; fuzzy systems; image classification; image texture; mammography; medical image processing; neurophysiology; physiological models; abnormal cases; breast tissue; candidate circumscribed masses; classification; digitized mammograms; neuro-fuzzy model; sub-image co-occurrence matrices; texture features; variable window size; Breast cancer; Breast tissue; Cancer detection; Feature extraction; Histograms; Image edge detection; Image segmentation; Mammography; Radio control; X-ray detection;
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
DOI :
10.1109/ITAB.2003.1222517
