@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}, }