%0 Journal Article
	%A M. Bastanfard and  S. Jafari and  B.Jalaeian 
	%D 2007
	%J International Journal of Aerospace and Mechanical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 3, 2007
	%T Analysis of Sonographic Images of Breast 
	%U https://publications.waset.org/pdf/1196
	%V 3
	%X Ultrasound images are very useful diagnostic tool to distinguish benignant from malignant masses of the breast. However, there is a considerable overlap between benignancy and malignancy in ultrasonic images which makes it difficult to interpret. In this paper, a new noise removal algorithm was used to improve the images and classification process. The masses are classified by wavelet transform's coefficients, morphological and textural features as a novel feature set for this goal. The Bayesian estimation theory is used to classify the tissues in three classes according to their features. 
	%P 677 - 680