An Automated Segmentation Method for Tumor Detection in Breast Ultrasound Images

K.M Prabusankarlal, P Thirumoorthy

Abstract


Image segmentation is an important stage in ultrasound computer aided diagnosis (CAD) systems. In this article, we have adapted morphological segmentation method to segment breast ultrasound images which are characterized by low contrast and degraded by speckle noise. The proposed method utilizes various morphological operators and marker controlled watershed segmentation to generate the contours of breast lesions. In the first part of the experiment, we have tested the method with synthetic images and in the second part; the method is applied on a database of 10 real breast ultrasound images including 5 benign and 5 malignant category. The quantitative performance of the method is analyzed by   comparing the segmented images with manually delineated images. The figure of merit (FOM) is used as evaluation parameter and the results evidenced the outperformance of the proposed method.

Keywords


Ultrasound, Breast cancer, Segmentation, Morphology.

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