In this paper, a novel level set approach is proposed for segmentation of medical ultrasound images. Considering the
speckle noise and low contrast of medical ultrasound images, we add an extra stopping term into the formulation of level
set evolution without re-initialization (LSEWR). Compared with traditional active contour models, the proposed level set
approach has more flexible initialization and larger capture range. It is insensitive to the initial contour and larger time
step can be used. The initial contour can be easily initialized as a circle or rectangular, thus achieving semi-automatic
segmentation of ultrasound medical images. The experimental results show that the proposed method can be used for
semi-automatic and high-quality segmentation of medical ultrasound images.