| Summary: | 碩士 === 東海大學 === 資訊工程學系 === 103 === Breast cancer is the most common cancer in the woman. There is an upward trend in the number of such cases in the past years. Early diagnosis and early treatment is the most effective way of reducing mortality caused by breast cancer. Ultrasound is the common examination technology because of fast, cheap and noninvasive. The difficult part is that there are many noises and speckles on the ultrasonic images. Malignant and benign breast tumors are present different shape and size, thus this study propose a robust segmentation method to assist the physician on contouring tumor boundary. The proposed method first utilizes a pre-processing procedure to reduce the noises and speckle in imaging. After that, three-dimensional (3D) region growing method is applies to segment the tumor area. Finally, the proposed method made the area smoother and correctly though a post processing step. This study evaluated total of 30 tumor cases and four practical similarity measures (similarity index, overlap fraction, overlap value, and extraction fraction) are used to evaluate the result between the manually determined contours, an automatically method named virtual organ computer-aided analysis (VOCAL) and the proposed segmentation method.
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