@article{(Open Science Index):https://publications.waset.org/pdf/1196,
	  title     = {Analysis of Sonographic Images of Breast },
	  author    = {M. Bastanfard and  S. Jafari and  B.Jalaeian },
	  country	= {},
	  institution	= {},
	  abstract     = {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. },
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {1},
	  number    = {3},
	  year      = {2007},
	  pages     = {677 - 680},
	  ee        = {https://publications.waset.org/pdf/1196},
	  url   	= {https://publications.waset.org/vol/3},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 3, 2007},
	}